Overview

The GenAI revolution has accelerated the need for advanced retrieval systems that power Copilot style applications combining large language models with external data. In Azure, Azure AI Search is the go-to solution for these scenarios.

We’re looking for a Software Engineer II - CoreAI to join our Data Ingestion & Augmentation team. This is an exciting opportunity to contribute to the next wave of AI-powered cloud services and help enterprise customers build Generative AI applications.

What You’ll Do

• Develop connectors to integrate with diverse customer data sources and seamlessly ingest content into Azure AI Search indexes.
• Enrich the ingested content with AI/ML capabilities by generating vector embeddings for text and images, extracting key phrases, and transforming unstructured data into structured, meaningful representations.
• Help transform traditional search indexes into intelligent AI indexes.

Our Mission

We aim to make Azure AI Search the knowledge and memory layer for AI-powered Agentic applications by:

• Building new data representations (natural language, vectors, knowledge graphs).
• Advancing multi-modal search for text, images, audio, and video.
• Integrating with Azure services like Azure OpenAI, Azure ML, and Logic Apps.

Why Join Us

• Work on impactful projects that enable next-generation Copilot experiences.
• Collaborate in a culture rooted in growth mindset, respect, integrity, and inclusion.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Responsibilities:

• You should have a solid understanding of the software development cycle and will use data and experiments to inform decisions.
• You’ll write secure, reliable, scalable, and maintainable code, and then effectively debug it, test it, and support it in production.
• System design through well-defined interfaces across multiple components, code reviews, leveraging data/telemetry to make decisions.
• You will contribute to the Microsoft ecosystem around Retrieval Augmented Generation through releasing products and services that power various generative AI applications.
• Maintain operations of live service as issues arise on a rotational, on-call basis.
• You will participate in creating and sustaining a trusted and effective work environment.
• We have a growth mindset and passion for continuous learning. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you.
• You will be collaborating with teams both within and outside Azure AI Search and will need to be able to quickly pick up expertise in building new integration touch points.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ years experience with one or more of the following Distributed systems, Artificial Intelligence, Backend Development

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifcation:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Ability to communicate and collaborate and to work effectively across teams and with customers.
• Hands-on Agile Development experience and proficiency in tools such as Azure DevOps, GitHub, or others.
• Background or practical experience in Information Retrieval, Vector Databases or Large Language Models for real-world applications.
• Demonstrated ability to design and deliver fault-tolerant, high-availability services.
• Intellectual curiosity and learning mindset with track record of applying emerging technologies to complex problems

CoreAI

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. As a Research Intern in MSR AI Frontiers Lab, you will perform cutting-edge research in collaboration with other researchers, engineers, and product groups. As a member of a world-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide. Embody our culture and values. Accepted or currently enrolled in a PhD program in Computer Science or related STEM field. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience publishing academic papers as a lead author or essential contributor in the field of Artificial Intelligence. Experience participating in a top conference in relevant research domain. Demonstrable ability to define an ambitious, original research agenda. Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team. Keen interest in real-world applications and impact. Experience in Machine Learning, Computer Vision and related fields. Research demonstrated by publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions.

The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Senior Security Researcher, you will:

• Research emerging attack vectors and techniques.
• Analyze detection and prevention gaps and understand root cause.
• Design and develop detection, prevention and disruption solutions to thwart advanced attacks.
• Synthesize in-field telemetry to judge the state of threat coverage and share insights.
• Identify trends, foresee landscape direction and propose enhancements to meet the needs.
• Collaborate across teams to address systemic security issues.
• Guide design of AI based solutions to tackle hard security problems.

Qualifications

Minimum Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 3+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
• 3+ years in reverse engineering (debuggers, disassemblers, file formats).
• 3+ years experience with attacker kill chain analysis (MITRE ATT&CK and enterprise threat modeling).
• 3+ years of experience in scripting and automation (Python, PowerShell, or Bash) and proficiency in at least one compiled language (e.g. C, C++, C#, Go, Rust).
• Working experience with cloud environments, OS internals, and hybrid attacks.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Mathematics, Computer Science or related field.
• OR 4+ years experience in software development lifecycle, large-scale computing, modeling, cyber-security, and/or anomaly detection.
• 3+ years working with OS internals (Windows and Linux preferred).
• 3+ years of experience in red-team/purple-team or blue-team operations across hybrid environments.
• 3+ years authoring detection logic and security telemetry pipelines.
• 3+ years with regex, Kusto, and/or SQL for log analysis.
• Experience in research publication and security tooling development.
• Working knowledge of AI workflows or generative AI/LLM frameworks.
• Experience in vulnerability analysis and exploit development.

#MSFTSecurity

Security Research IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Security Research IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Conduct research on state-of-the-art artificial intelligence methodologies and identify new opportunities to advance artificial intelligence from various aspects. Leverage interdisciplinary expertise and knowledge across NLP, LLM, computer vision, and other related domains to accelerate innovation in artificial intelligence. Develop, prototype, and optimize novel methodologies to tackle the core challenges of artificial intelligence. Disseminate research findings through publications in peer-reviewed journals, top-tier conferences, and other relevant venues, and present results both internally and externally. Currently enrolled in a Master or Ph.D. program in Computer Science, Electrical Engineering, Mathematics or a related field. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Ability to work independently and collaboratively in a dynamic and vibrant research environment. Willingness to embrace knowledge/technique outside your field of research. Solid programming skill, including prototyping, implementation and optimization. Experience in LLM pre-training, post-training and inference (like Megatron framework). Experience in world model, multimodality and AI4Code. Reinforcement Learning experiences and frameworks (like VeRL, rLLM). Proven publication track such as CVPR, ACL, ICML, ICCV, ECCV, NeurIPS, ICLR, RSS etc.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. The Research Intern will collaborate with a team of top-notch scientists, engineers, and biomedical practitioners to: Conduct analyses using multimodal real-world data (RWD) sources such as electronic health records, medical imaging, and multi-omics to explore opportunities for modeling. Collaborate with cross-functional teams to design and implement state-of-the-art systems by considering medical factors and responsible AI principles. Propose novel approaches for unsolved research problems. Currently enrolled in a PhD program in Computer Science, or a related STEM field. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience with machine learning, natural language processing or a related field. Experience with deep learning platforms, such as PyTorch or Tensor Flow. Experience with large datasets and distributed computing. Experience in working with biomedical data. Passionate about real-world applications and impact. Proficient verbal and writing communication skills. Track record of publications in top ML or NLP venues.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Accepted or currently enrolled in a PhD program in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience with LLM architectures, systems for LLM inference, and/or AI hardware. Experience with GPUs and understanding of CUDA/ROCm frameworks. Experience with computer systems and/or networks. Experience in conducting research and writing peer-reviewed publications. Proficient written and verbal communication skills. Be able to work in a cross-functional and multi-disciplinary setting across research and product. Proficient software development skills, preferably in C++ and Python.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. We are looking for a computer vision Research Intern with expertise in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences' mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge. Currently enrolled in a Master or PhD program in Computer Science or a related STEM field. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV). Comprehensive Deep Learning, algorithmic and software engineering background. Experienced in video-focused computer vision tasks, e.g. frame interpolation, video super-resolution, and video frame generation.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Research Interns are expected to design algorithms/models and prototype them, conduct experiments, and analyze results. They are encouraged to show initiative throughout the Research Internship and suggest further directions for research. They are expected to document their ideas, and given suitable results, contribute to a paper. Currently enrolled in a PhD program in Computer Science, Operations Research or a related STEM field. At least 3 years of experience in C# or C++ or Python (or similar language). In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience in optimization/algorithm design. Experience in machine learning and LLMs (e.g., data curation, post-training, agentic frameworks). Demonstrated ability to run simulations and analyze results. Some knowledge of distributed systems.

Overview

Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The Agentic Core Services Team is responsible for building the cloud-native, distributed platform that powers the development, execution, and management of agentic applications at scale. Our mission is to provide the foundational infrastructure and runtime systems that enable developers to build intelligent, autonomous, and enterprise-grade AI agents with confidence and agility.

In this role, you will help define the future of software and application development. You will shape how developers interact with our platform—from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You’ll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.

Responsibilities

• Shape the Product Vision: Define and influence the product roadmap by aligning technical strategy with business goals and customer needs.
• Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making.
• Architect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs.
• Foster Engineering Alignment: Work with the engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction.
• Deliver Cohesive End-to-End Experiences: Collaborate closely with partner teams—including experience, SDK, and platform groups—to ensure seamless integration and delivery of features across the stack.
• Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation.
• Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging—ensuring the voice of the customer shapes product evolution.
• Lead Live Site Excellence: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The AI Interaction and Learning team in Microsoft Research advances research on collaborative AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone. We work closely with product teams deploying copilots, ensuring that our research both addresses the challenges of large-scale, real-world AI systems. Our mission is to move beyond individual assistance toward joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence. 

We are looking for a Senior Researcher with a passion for pushing the boundaries of learning and reasoning with foundation models, and with a proven ability to conduct impactful independent research. In this role, you will develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques, shape and advance the team’s research agenda, and collaborate widely across the organization. 

We are particularly interested in candidates who are passionate about the challenges of developing large-scale, real-world AI systems, including: 

• Designing metrics and reward mechanisms to adaptively align to evolving goals.
• Developing algorithms for eliciting preferences and making decisions under uncertainty.
• Managing information flow across groups and organizations to support shared understanding and effective coordination.

Responsibilities

As a Senior Researcher at Microsoft Research, you will undertake cutting-edge research in collaboration with other researchers, engineers, and product groups. Specifically, you will: 

• Identify and articulate problems that are academically novel and may directly/indirectly impact business opportunities.
• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
• Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
• Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations.
• Collaborate with other relevant researchers or groups to advance a research agenda.

Qualifications

Required Qualifications:

• PhD in Computer Science or related field (completed or close to completion by the start date).
• Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence.

Preferred Qualifications:

• PhD in relevant field AND 2+ years related research experience.
• Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR)
• Demonstrable ability to develop/shape original research agendas.
• Ability to work collaboratively in a multi-disciplinary team.
• Proficient oral and written communication skills.
• Passion for AI research.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity.

As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for a wide range of users and facilitate the next wave of growth and innovation in AI.

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be part of the team shaping the future of personal computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
• Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
• Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
• Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
• Gather data and insights to develop the pretraining compute roadmap.
• Care deeply about conversational AI and its deployment.
• Actively contribute to the development of AI models powering our innovative products.
• Find solutions to overcome roadblocks and deliver your work to users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven product development cycle.
• Embody our Culture and Values.

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred qualifications

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience in distributed computing and large-scale systems.
• Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
• Proven ability to profile, benchmark, and optimize performance-critical systems.
• Experience in leading technical projects and supporting architectural decisions with data.
• Experience building infrastructure for large-scale machine learning or generative AI workloads.
• Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
• Track record of contributing to high-performance computing or large-scale AI infrastructure projects.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale.

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Design and develop next-generation hardware health monitoring and diagnostic frameworks for large GPU clusters (NVL16/NVL72/GB200+ scale).
• Build predictive analytics pipelines leveraging telemetry, power, and thermal data to anticipate hardware degradation and systemic issues.
• Collaborate with silicon, firmware, and datacenter engineers to identify root causes and remediate large-scale hardware anomalies.
• Define system health KPIs (e.g., NIS/RIS, MTBF, failure domain analysis) and integrate them into real-time observability platforms.
• Lead incident triage for high-impact GPU, network, and cooling issues across distributed clusters.
• Drive automation in health management to reduce manual intervention to the top 5% of anomalies.
• Partner with cross-functional teams to influence hardware design for reliability, thermal efficiency, and serviceability.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience working with large-scale HPC or GPU systems (NVIDIA H100/GB200 or equivalent).
• Deep understanding of GPU architecture, high-speed interconnects (NVLink, InfiniBand, RoCE), and large datacenter topologies.
• Proficiency in hardware telemetry, diagnostics, or failure analysis tools.
• Experience with exascale-class systems or cloud-scale AI clusters.
• Familiarity with reliability modeling, machine learning-based anomaly detection, or predictive maintenance.
• Contributions to large-scale infrastructure operations, supercomputing centers, or AI hardware design.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Accepted or currently enrolled in a PhD program in Computer Science, Information Science, Statistics, Information Systems, Economics, Operation Research or a related STEM field. At least 1 year of experience in conducting research and writing peer-reviewed publications. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Ability to think unconventionally to derive creative and innovative solutions. Actively conducting research in at least one of the following areas: Collaborative or Multi-party AI Agents (e.g. AI teammates) Multi Agent Simulations (e.g. evaluating or training AI agents in collaborative settings) Tool-Use and Multi-Turn Reinforcement Learning Learning from user interactions or human feedback in the wild Synthetic data generation for LLM evaluation and fine-tuning Rubric-based LLM graders for reward models Evaluation and Benchmarking of LLM Agents Agents (e.g. Memory, Goal management, Inter-Agent conversations) Model finetuning Proficient interpersonal and communication skills, cross-group, and cross-culture collaboration skills.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Currently enrolled in a PhD program in Computer Science or a related STEM field. At least 1 year of experience (coursework or project) with Machine Learning and Deep Learning. At least 2 years of experience with mathematical modelling for practical problems. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience in deep learning foundations, including theories, models, and algorithms. Experience with sequence modeling, Large Language Models (LLM), multimodal intelligence, Large Multimodal Models (LMM), and their applications to natural language processing and computer vision tasks. Experience with neuro-symbolic reasoning and neural program synthesis.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Currently enrolled in a master's, or PhD program in Computer Science, Electrical Engineering, or a related STEM field. Completed at least 2 academic courses or projects involving machine learning systems. At least 3 years of experience programming in Python, C++, or a similar systems-oriented language through work, projects, or research. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Demonstrable Contribution to open-source ML framework or ML systems software. Deep and strong understanding of transformer-based model architectures, including attention mechanisms, KV cache behavior, and common training and inference bottlenecks. Experience with modern ML frameworks and runtimes such as PyTorch, Hugging Face Transformers, SGLang, vLLM, or TensorRT-LLM. Experience with GPU or accelerator programming using CUDA, Triton, or similar tools, and familiarity with profiling and performance analysis. Familiarity with benchmarking and performance profiling tools for ML workloads. Working knowledge of low-precision numeric, quantization methods, or hardware-software co-design considerations for large-scale model efficiency is a plus. Coursework, research, or project experience in areas such as ML systems, model optimization, kernel development, or numerical computing. Proficient analytical and problem-solving skills, with an interest in ML systems and computational performance.

Overview

Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The Agentic Core Services Team is responsible for building the cloud-native, distributed platform that powers the development, execution, and management of agentic applications at scale. Our mission is to provide the foundational infrastructure and runtime systems that enable developers to build intelligent, autonomous, and enterprise-grade AI agents with confidence and agility.

In this role, you will help define the future of software and application development. You will shape how developers interact with our platform—from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You’ll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.

Responsibilities

• Shape the Product Vision: Define and influence the product roadmap by aligning technical strategy with business goals and customer needs.
• Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making.
• Architect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs.
• Foster Engineering Alignment: Work with the engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction.
• Deliver Cohesive End-to-End Experiences: Collaborate closely with partner teams—including experience, SDK, and platform groups—to ensure seamless integration and delivery of features across the stack.
• Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation.
• Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging—ensuring the voice of the customer shapes product evolution.
• Lead Live Site Excellence: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Member of Technical Staff - Machine Learning (AI Team), you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

• Leverage subject matter expertise to improve model quality for interactive and agentive experiences.
• Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API.
• Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
• Independently write efficient, readable, extensible code and model pipelines.
• Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Design and implement research prototypes for real-time situated and adaptive interaction. Explore the use of the latest generative AI techniques related to interpreting multimodal interaction, conversation, and behavioral signals. Conduct user studies and analyze multimodal data. Contribute to publications and share findings with the research community. Designed, implemented, and evaluated different personality styles for AI agents, varying factors such as communication style, voice characteristics, and emotional tone to study their impact on user experience, engagement, and trust. Working with multimodal AI models Currently enrolled in a PhD or equivalent program in HCI, HRI, Computer Science, Cognitive Science, Robotics, Electrical Engineering, Psychology, or related STEM field. At least 2 years of research experience using human-centered approaches in HCI, HRI, ML, CV, or Affective Computing. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Please include a cover letter indicating which of the research topics you are most interested in and aligned with. Be sure to indicate which of the specific preferred qualifications (listed below) you possess. We are looking for some combination of the following qualifications (please address these in your cover letter): Experience writing peer-reviewed publications. Experience with generative AI techniques, ML frameworks (e.g., PyTorch), and real-time interactive systems. Strong collaboration and communication skills. Conducting human-subjects research. Experience implementing research prototypes (frontend, backend, or both). Using human-centered design & research methods. Familiarity with reinforcement learning or time-series signal processing. Working with large datasets (e.g., text, vision, physiology, behavioral). Experience collecting data with wearable devices. Experience prototyping real-time conversational AI agents using tools such as the OpenAI Realtime API, including function calling, and supporting interactions via text, voice, and other interfaces.

Overview

Microsoft AI is looking for a Member of Technical Staff – Full Stack Software Engineer to help build the next wave of capabilities for our personalized AI assistant, Copilot. At Microsoft AI, we push boundaries to deliver exceptional products and services that empower users to be more productive and efficient. If you are passionate about innovation and want to shape the future of AI, this is your opportunity.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation. You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation. Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile. You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal. Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps. The possibilities are endless.

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. This Copilot team collaborates with Bing, Edge, MSN, and Shopping. Join us in shaping the future of personal computing powered by AI. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying for this position, you are required to be local to Redmond, WA or Mountain View, CA locations and in office 4 days a week.

Responsibilities

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.
• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.
• Designing pipeline architecture to ensure rapid iteration and scalability.
• Conducting post-analysis of labeled data and developing dashboards to visualize insights.
• Collaborating closely with the product team to enhance quality and address gaps.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python
• OR equivalent experience.

Preferred Qualifications:

• 2+ years’ experience with SQL, PostgreSQL or MySQL
• 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
• HTML, CSS, JavaScript, ASP.NET, REST, jQuery
• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright
• Familiarity with mobile automation tools like Appium
• Familiarity with LLMs and AI ChatBots
• Prompt EngineeringAzure DevOps, GIT
• Azure Open AI, Azure Foundry
• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Help build the world’s most advanced multimodal dataset at Microsoft AI

We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.

The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra.

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:

Are passionate about the role of data in large-scale AI model training

Will thrive in a highly collaborative, fast-paced environment

Have a high degree of expertise and pay close attention to details

Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

Effectively manage multiple responsibilities and can adjust to shifting priorities.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI towardHumanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).

Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.

Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.

Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
• OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work
• OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work
• OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
• OR equivalent experience.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Join Microsoft AI in building one of the world’s most advanced foundation models. Our mission is to push the boundaries of scale, performance, and deployment, creating frontier AI systems that power transformative experiences across Microsoft.

The Multimodal team tackles some of the most challenging problems in deep learning at scale. Our work forms the backbone of initiatives across Microsoft AI, enabling breakthroughs that shape the future of AI.

What We’re Looking For

We seek exceptional individuals who:

• Bring proven expertise, demonstrated through impactful publications or technical leadership on high-scale projects.
• Possess strong analytical skills, attention to detail, and a data-driven approach to decision-making.
• Have experience with large-scale distributed systems and scalable architectures.
• Thrive in fast-paced, collaborative environments and embrace innovation.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
• Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.
• Innovate and iterate over ideas, prototypes, and product.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.
• Advance the AI frontier responsibly.
• Embody our culture and values.

Qualifications

Required Qualifications 

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Preferred Qualifications: 

• Master's Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

• Experience with large-scale AI systems — design and deployment of distributed architectures, multimodal or conversational models; proficiency with ML frameworks (e.g., PyTorch, TensorFlow) and cloud/HPC environments (e.g., Azure).

• Expertise in data engineering for foundation models — multimodal dataset design, curation, annotation pipelines, quality evaluation, bias detection, and understanding of privacy, compliance, and Responsible AI principles.
• Background in LLM interaction and deployment — practical work in prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.
• Cross-functional collaboration and communication — ability to produce clear technical documentation, partner with engineering, product, and design teams, and contribute to knowledge sharing; demonstrated application of emerging AI technologies and best practices.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.

In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviors
• Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
• Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

• 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.

• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
• Ability to communicate technical findings clearly to research and product teams.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.

Help deliver one of the best foundational models in the world at Microsoft AI. 

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re looking for highly motivated and detail-oriented Technical Program Managers to help bring our vision to life. We are seeking outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

• Deeply understand the pipeline of collecting data, training, evaluating, and serving language models and multimodal models.

• Have experience working side-by-side with AI researchers and engineers.

• Thrive in a 0->1, scrappy, innovative environment.

• Are passionate about managing high-stakes, time-sensitive, large-scale programs.

• Take initiative and enjoy finding paths through complexity in a fast-paced environment.

• Are comfortable owning projects that span offices, teams, and time zones, can coordinate different workstreams, and drive to relentlessly unblock progress.

• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.

• Possess strong technical curiosity and judgment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Coordinate projects and programs including all elements of end-to-end program planning, timelines, milestones, performance metrics, risk anticipation/mitigation and resource needs for programs and product cycles.

• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

• Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs.

• Foster a culture of collaboration, continuous improvement, and growth.

• Own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

• Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team.

• Work closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.

• Advance the AI frontier responsibly.

• Embody Microsoft’s culture and values.

Qualifications

Required Qualifications

• STEM bachelor's degree AND 6+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development 
  OR equivalent experience.

• 6+ years' experience managing cross-functional and/or cross-team projects.

Preferred Qualifications

• STEM bachelor's degree AND 10+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development 
  OR equivalent experience.

• 10+ years' experience managing cross-functional and/or cross-team projects.

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our Compute team tackles some of the most complex challenges in deep learning infrastructure, enabling large-scale training and serving of foundation models that power initiatives across Microsoft AI.

Help deliver world-class compute infrastructure for foundational AI models at Microsoft AI.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re seeking highly motivated and detail-oriented Technical Program Managers to help bring our vision to life. Ideal candidates will:

• Deeply understand the design, deployment, and optimization of large-scale compute infrastructure for AI/ML workloads.

• Have experience collaborating with AI researchers, engineers, and infrastructure teams to deliver robust, scalable solutions.

• Thrive in a scrappy, fast-paced, innovative environment, managing high-stakes, time-sensitive, large-scale programs.

• Take initiative and enjoy navigating complexity, driving progress across offices, teams, and time zones.

• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies in compute and infrastructure.

• Possess strong technical curiosity and judgment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Drive projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network.

• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

• Leverage data and analytics to define metrics, set baselines and targets for fleet efficiency & optimize.

• Advocate for AI team’s resource needs with exec and working level partners across Microsoft.

• Foster a culture of collaboration, continuous improvement, and growth.

• Own the status of key compute projects, proactively identifying risks and proposing solutions to ensure timely delivery.

• Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team.

• Work closely with teams on infrastructure, pre-training, post-training, and product to drive resource allocations and configurations.

• Advance the AI frontier responsibly.

• Embody Microsoft’s culture and values.

Qualifications

Required Qualifications

• Bachelor’s Degree AND 6+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development 
  OR equivalent experience.

• 6+ years' experience managing cross-functional and/or cross-team projects.

Preferred Qualifications

• Bachelor’s Degree AND 10+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development 
  OR equivalent experience.

• 10+ years' experience managing cross-functional and/or cross-team projects.

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is looking for a Member of Technical Staff, Compute Orchestration & Scheduling to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff, Compute Orchestration & Scheduling you would be responsible for designing and building our compute orchestration and scheduling layer on top of Kubernetes and Ray, working on everything from workload placement and scaling to reliability and developer experience. You’ll work closely with research and framework teams to turn their requirements into scalable abstractions, improve cluster efficiency, and ensure our compute platform is observable, and easy to operate in production. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.

Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures

• Benchmark GB200 and AMD MIxxx GPU clusters

• Gather data and insights to develop the pretraining compute roadmap

• Care deeply about conversational AI and its deployment

• Actively contribute to the development of AI models that are powering our innovative products

• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively

• Enjoy working in a fast-paced, design-driven, product development cycle

• Embody our Culture and Values

Qualifications

Required Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Additional Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning Systems to help build the world’s most advanced reinforcement learning systems. We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team – from training trustworthy and capable agents and powerful reasoning models to helpful and conversational assistants.

We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges. Specifically, they should:

• Excel in programming (especially parallel/concurrent and distributed), software engineering, and system design

• Have experience in large-scale systems, preferably having built some components from scratch.

• Thrive in a highly collaborative, fast-paced environment

• Have a high degree of craftsmanship and pay close attention to details

• Effectively manage multiple responsibilities and can adjust to shifting priorities

A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.

Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.

• Benchmark GB200 and AMD MIxxx GPU clusters.

• Gather data and insights to develop the pretraining compute roadmap.

• Care deeply about conversational AI and its deployment.

• Actively contribute to the development of AI models that are powering our innovative products.

• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

• Enjoy working in a fast-paced, design-driven, product development cycle.

• Embody our Culture and Values

Qualifications

Required Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Additional Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience with generative AI.
• Experience with distributed computing.
• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

Qualifications

Required Qualification

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred Qualification

• Master's degree  in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .
• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in  (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Additional Qualifications:

• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists and medical doctors who are working on next-generation Artificial Intelligence (AI) tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

We are looking for a Principal Researcher to help us explore ways that we can improve access to advanced medical imaging. You will lead efforts to design and implement new acquisition and reconstruction techniques for Magnetic Resonance Imaging (MRI). In this role, you will leverage your background in MRI physics, signal processing, and reconstruction and explore how the latest innovations in AI might change how we think about the role of advanced imaging techniques such as MRI. This role requires you act as a leader in a diverse research environment where you will craft new approaches to imaging. You will need to take a hands-on approach to experiments and implementation.

Responsibilities

• Signal processing and image reconstruction: Lead the development of state-of-the art image reconstruction methods for MRI. Combine traditional signal processing with AI based methods.
• MRI Physics: Use your expertise in MRI pulse sequences to design novel approaches to data acquisition that can take advantage of AI based image reconstruction techniques.
• Instrumentation: Lead research to rethink the way instruments are calibrated and the image acquisition strategies that will be needed in the age of AI.
• Publications: Write scientific publications that demonstrate how AI might transform medical imaging and present our work at scientific meetings.

Qualifications

Required Qualifications

• Doctorate in Physics, Engineering or relevant field AND 3+ years related research experience
• OR equivalent experience.

Preferred Qualifications

• 5+ years of experience with MRI pulse sequences and reconstruction techniques.
• Experience with emerging or alternative approaches to MRI such as low-field MRI or novel instrument designs.
• Experience with applying AI to image reconstruction or pulse sequence development.
• Experience with existing open standards for MRI such as the International Society for Magnetic Resonance in Medicine (ISMRM) Raw Data format and the associated software ecosystem.

healthfutures #ai #signalprocessing #biomedicalimaging #mri  #Research

Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Join Microsoft’s Copilot Education team in Mountain View, where you’ll lead the charge in shaping the future of AI-powered education technology. As an Education Engineering Manager, you’ll manage and grow high-performing teams in a fast-paced, consumer-focused environment, with a strong emphasis on launching impactful products to market. We’re seeking leaders with people management experience, deep technical expertise across frontend and backend systems, and a proven track record in EdTech—especially those who thrive in both startup and large company settings.

You’ll drive the development of innovative, consumer-facing AI features such as study & learn modes and quiz generation, helping to set industry standards and deliver meaningful experiences to learners. Passion for education technology and hands-on leadership are essential, as is the ability to spot underlying issues and iterate quickly. This is a high-impact, high-visibility opportunity to grow a team, shape a new vertical, and make a lasting difference in a domain that values diverse experiences and cross-pollination of ideas.

If you’re energized by the chance to lead AI for education, work on products with real emotional resonance, and see EdTech as a calling—not just a career—this is the place for you.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Hire, manage, and lead a team of software engineers responsible for delivering high-performance.
• Driving the development of innovative, consumer-facing AI features such as study & learn modes and quiz generation, helping to set industry standards and deliver meaningful experiences to learners.
• Work on products with real emotional resonance.
• Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
• Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
• Embody our Culture and Values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• 5+ years people management experience.
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

The Microsoft Quantum team is redefining what is possible with technology, creating unprecedented possibilities to solve humanity’s most complex challenges. Our team combines hardware innovation with software technologies and Azure services to build scalable quantum technologies in an industry-leading quantum ecosystem. This Senior Quantum Architect position offers an opportunity to have a meaningful impact on the design of future scalable quantum computers.

We are seeking a Principal Quantum System Architect to play a central role in conceptualizing, designing, and evaluating quantum computing systems that may be based on many different qubit technologies from the novel to the well-established.

For more information about our team, visit https://www.microsoft.com/en-us/quantum.

Responsibilities

• Evaluate different quantum computing qubit technologies to identify system bottlenecks and key trade-offs
• Construct performance models and determine optimal system requirements
• Develop advanced toolsets for modeling quantum components
• Determine novel quantum applications and evaluate the quantum resources needed to execute them on a quantum system architecture
• Drive cross-group and cross-disciplinary collaboration within Microsoft Quantum’s qubit device modeling, quantum error correction, and quantum applications teams
• Conceptualize and design the subsystems of the complex architecture that defines the quantum machine

Other:

• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Physics, Physical Sciences, Computer Engineering, Software Engineering, or related field AND 8+ years experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
• OR Master’s degree in Computer Science, Mathematics, Physics, Physical Sciences, Computer Engineering, Software Engineering, or related field AND 6+ years experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
• OR Doctorate in Computer Science, Mathematics, Physics, Physical Sciences, Software Engineering, or related field AND 3+ years experience, including research and/or development of commercial software, hardware engineering, compilers, scientific computing applications, or multi-component systems
• OR equivalent experience.
• 4+ years of experience in one or more of the following areas: high-performance computing, quantum algorithms, quantum error correction, quantum simulation, hardware accelerator simulation and/or modeling.
• Demonstrated ability to work effectively across internal and external organizations, with strong communication and leadership skills.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide proof of citizenship, U.S. permanent residency, or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information.  To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
• Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).
• Ability to evaluate agentic solutions with measurable metrics and human-in-the-loop safeguards following Microsoft Responsible AI requirements for generative AI.

Additional or Preferred Qualifications

• Experience developing and implementing algorithms for quantum applications, preferably for fault-tolerant quantum systems.

• Experience with classical computer performance modeling and architecture including accelerators (GPUs, TPUs, or coprocessor designs)

• Experience with high-performance classical computing methods.

• Skills in applied mathematics or related disciplines.

• Methodical problem-solving and critical-thinking abilities.

• Proficient written and verbal communication skills.

• Ability to work independently and collaboratively within a dynamic multi-disciplinary team environment.

Quantum #QuantumCareers #MDQCareers

Quantum Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MAI) is seeking experienced Member of Technical Staff - Copilot AI Companion Engineering Manager to lead building high-performing, emotional, delightful character experience in Copilot. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world. You will lead a team of talented software engineers to deliver world-class AI companion experiences that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product, Design, and Research. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Hire, manage, and lead a team of software engineers responsible for delivering high-performing, emotional, delightful AI character experiencesShip AI powered experiences that will shape how millions of people will interact with AI in the future
• Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
• Design and build a performant AI Character infrastructure that drives fast, reliable, and scalable character experiences
• Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
• Embody our Culture and Values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 6+ years people management experience.
• Experience leading engineering teams to deliver large-scale software systems, preferably in AI, machine learning, graphics or related fields.
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
• Have strong opinions about best investments to make in establishing the most delightful and performant AI companion engineering system.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Azure Specialized is chartered to integrate mission critical workloads with Azure. We have shipped Oracle Databases@Azure, Azure NetApp Files, Cray Supercomputer, and more are in the pipeline. We deliver end-to-end networking solutions that connect non-cloud-ready hardware to Azure, enabling new services for our customers. It is a highly impactful team with strong growth potential.

We are seeking a strong Infrastructure/Site Reliability Engineer with proven experience running large-scale production systems, managing incidents, and building resilient, automated infrastructure. If you are passionate about cutting-edge work that builds skills in Networking and Cloud Platforms, this is the team for you! You will gain experience in service-oriented network architectures and large-scale datacenter networking. Our work spans from designing high-performance, secure networking stacks to delivering automation and monitoring systems that keep Azure running at scale. You will partner with teams across Azure to deliver innovative solutions that solve real-world challenges while shaping the networking foundation for some of the most demanding cloud workloads.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, build, produce and deliver software to improve the usability, reliability, scalability, performance, security and highly available infrastructure using Azure Networking services having independence, sense of ownership and drive for areas of ownership.
• Own / Troubleshoot End to End hardware/software issues across L2/L3 networking stack, device OS, telemetry, and infrastructure dependencies.
• Innovate on the Software-Defined Networking(SDN) platform to provide consistent connectivity for a heterogeneous mix of workloads.
• Proactively identify and resolve production issues, performing root cause analysis and implementing long-term fixes to reduce operational toil.
• Collaborate with multiple partner teams and gain broad exposure to core networking technologies end-to-end.
• Develop, set up, and execute tests before feature releases.
• Create monitoring and diagnostic tools to ensure quality of service.
• Participate in on-call rotations, incident response, and postmortem analysis to ensure continuous learning and resilience improvement.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science
• OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
• OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Prior experience as an infrastructure, systems, or site reliability engineer in large-scale or high-availability environments.
• Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations
• Experience working with large-scale infrastructure, data centers, or cloud platforms and a good understanding of L2/L3 networking.
• Solid Understanding of Datacenter Networking and Cloud Environments.
• Experience with monitoring/logging platforms and strong problem solving and software troubleshooting skills.
• Understanding of system performance, incident response, and troubleshooting in production environments.
• Strong experience and knowledge working with databases such as SQL / KQL etc.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

In this role, you will:

• Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
• Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world
• Design and build efficient and reusable front-end systems that drive complex web applications
• Plan and deploy front end infrastructure necessary to build, test, and deploy our products
• Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products
• Embody our Culture and Values

Qualifications

Required Qualifications

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.

Preferred Qualifications

• Bachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
• Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
• Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MAI) is looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning experience and a passion for solving dynamic AI challenges.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.
• Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
• Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
• Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
• Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
• Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
• Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
• Embody our Culture and Values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

• 3+ years of experience building and deploying ML models in production environments.
• Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).
• Experience with classification, recommendation, or personalization systems.
• Experience using large language models (LLMs) for machine learning and AI applications.
• Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in personalization strategies and user behavior modeling.
• Strong problem-solving skills and the ability to independently design solutions to complex challenges.
• Excellent communication skills, with the ability to influence technical and non-technical audiences.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is looking for a talented iOS engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams.

Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this U.S. Mountain View, CA / Redmond, WA position, you are required to be local to the San Francisco/Redmond area and in office 4 days a week.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Care deeply about building outstanding consumer-grade mobile applications.
• Build consumer grade applications for iOS.
• Ship high-quality, well-tested, secure, and maintainable code.
• Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to,  Swift, Objective-C, or Java  OR equivalent experience

Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Swift, Objective-C, or Java OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Swift, Objective-C, or Java OR equivalent experience.
• Contributions to open-source projects.
• Experience building iOS applications from scratch.
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.

The Customer Experiences (CXP) team is hiring for a Senior Engineer II to advance its mission of building software systems or applications for software enhancements and new products which may be used in local, networked, cloud-based, or internet-related computer programs. This opportunity will allow you to develop software, tools and code to be used in support of design, infrastructure and technology platforms as well as commercial or end-user applications. You will work on complex problems in a fast-paced, dynamic environment, collaborating with talented engineers and stakeholders across the company. This role offers broad exposure, diverse technical challenges, and the opportunity to make a significant impact on Microsoft’s Marketing and Sales Ecosystem.

This position is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Works with appropriate stakeholders to determine user requirements for a feature.

• Supports identification of dependencies, and the development of design documents for a product feature with oversight.

• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.

• Assists and learns about breaking down work items into tasks and provides estimation.

• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.

• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Additional or Preferred Qualifications

• Bachelor's Degree in Computer Science

• OR related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript,

• OR Python

• OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Microsoft AI Superintelligence (MAIST) Post Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development.  

The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models.   

The team has also produced publications as by-products, including work such as LoRA, DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models. 

We are looking for a Member of Technical Staffwith significant experience in large-scale model training, data curation, and hands-on coding, ideally from leading research labs. You will develop LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference. 

Our team values startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write efficient code and debug training jobs, document findings, and demonstrate a track record in these fields. You may include information about any individuals who can serve as your referral in your application.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

Responsibilities

• Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models; run ablation studies to measure impact and optimize data effectiveness.
• Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models.
• Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets.
• Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance; identify gaps and propose improvements.
• Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation.
• Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact.
• Other:  - Embody our Culture and Values

Qualifications

Required Qualifications:

• Master's Degree in relevant field AND 1+ year(s) related research experience
• OR equivalent experience

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Doctorate OR equivalent experience.

CoreAI

Research Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MS AI) is seeking skilled engineers to advance the next generation of capabilities for our personal AI, Copilot. This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development—from inception to delivery, ensuring exceptional quality and seamless implementation. Ideal candidates will have robust experience in infrastructure, platform engineering, and machine learning, bringing technical expertise and a methodical problem-solving approach. Collaboration across teams at Microsoft is key, as you’ll work to expand Copilot's integrations and scope, creating world-class consumer experiences in a fast-paced, innovative environment. Join a team where positivity, empathy, and effectiveness are as valued as technical acumen.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Work on building new AI features that enhance copilot.
• Build secure and performant AI Platform services that power Copilot.
• Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang

• OR equivalent experience.

• Experience leveraging generative AI technologies to develop innovative and user-focused product features.
• 4+ years' experience building APIs and creating pipelines for large-scale products
• 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.

Preferred Qualifications:

• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Microsoft AI Superintelligence Post Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development.

The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models.

The team has also produced publications as by-products, including work such as LoRA, DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models.

We are looking for a Member of Technical Staff with significant experience in large-scale model training, data curation, and hands-on coding, ideally from leading research labs. You will develop LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference.

Our team values startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write efficient code and debug training jobs, document findings, and demonstrate a track record in these fields. You may include information about any individuals who can serve as your referral in your application.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Core Qualifications & Responsibilities: 

• Perform large-scale model training - Especially with LLMs, SLMs, multimodal, or code-specific models.
• Perform data curation and synthesis - Creating and refining datasets to optimize training outcomes.
• Hands-on coding- write efficient, production-quality code and debug complex training jobs.
• Work on both proprietary and open-source frameworks - Demonstrated proficiency in training pipelines and architecture.
• Full-stack modeling responsibility - From data ingestion and training to evaluation and inference management.

Research & Innovation:

• Contribute to or build on existing innovations like technical report of the well-known models.
• Develop novel AI solutions that bridge language, vision, and code understanding.
• Help develop models powering tools like GitHub Copilot, Cursor, and VS Code suggestions.

Other:

• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 4+ years related research experience OR Bachelor's Degree in relevant field AND 6+ years related research experience
• OR equivalent experience.
• 5+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton
• 3+ years of experience in data curation and synthesis, creating and refining datasets to optimize training outcomes
• 3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
• 3+ years of large-scale model training - especially with LLMs, SLMs, multimodal, or code-specific models
• Prior research publication record with over 3000 citations

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• Doctorate in relevant field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience
• OR equivalent experience.
• 5+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton
• 3+ years of experience in data curation and synthesis, creating and refining datasets to optimize training outcomes
• 3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
• 3+ years of large-scale model training - especially with LLMs, SLMs, multimodal, or code-specific models
• Prior research publication record with over 3000 citations
• Agile, solution-oriented, and able to operate with minimal overhead within a startup style mindset
• Self-driven and organized with the ability to take ownership of projects and document findings clearly and effectively.
• Proven track record of impactful research - Preferably at leading research labs, with published work or real-world deployments.
• Extensive experience with foundation models, including large-scale training, model inference, reinforcement learning, reasoning models, vision-language integration, and audio-visual modeling
• Hands-on experience with large-scale distributed training or serving, and systems of thinking.
• Experience working with large, complex datasets and developing data pipelines for LLM training
• Demonstrated ability to collaborate within interdisciplinary teams and communicate complex, multimodal research concepts effectively

Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Research Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft Research New York City (MSR NYC) is seeking applicants for one or more Postdoctoral Researcher (Postdoc) positions in Fairness, Accountability, Transparency, and Ethics in AI (FATE). This two-year position, to begin in July 2026, is an ideal opportunity for an emerging scholar whose work focuses on the social implications of machine learning and AI.

We will begin to review applications on December 15, 2025, and continue to do so until we fill the position. We encourage applicants to submit as close to December 15 as possible for full consideration.

As a Post Doc researcher, you will have the opportunity to pursue your own research agenda while interacting with our group's diverse array of researchers and contributing to ongoing research projects. We collaborate extensively with groups at other MSR locations and across Microsoft.

The FATE group in NYC is interested in research including but not limited to: sociotechnical approaches to AI evaluation/measurement; developing statistical, computational, and visualization methodologies for AI evaluation/measurement; the challenges of responsible AI in industry practice; AI law and policy; AI transparency; human-AI interaction; AI and critical thought; AI and political economy;  AI and sustainability; AI and geopolitics; AI and creative labor; and a wide range of topics that address AI’s social impacts from a diversity of disciplinary perspectives.

Postdoc researchers receive a competitive salary and benefits, and are eligible for relocation benefits. These positions are for up to two years, starting in July 2026, ending no later than June 30th, 2028.

Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, with access to an extraordinary diversity of data sources, an open publications policy, and close links to top academic institutions around the world.

Applicants should have evidence of research contributions through conference or journal publications or equivalent work and broader contributions to the research community. Applicants must have fulfilled their PhD degree requirements, including submission of their dissertation, prior to joining MSR NYC. We encourage candidates with tenure-track academic job offers to apply (with the option of doing a one-year rather than two-year postdoc), provided they are able to defer their start date by at least one year to accept our position.

Microsoft Research is committed to cultivating a workplace that reflects the diversity of the global communities we serve. We actively seek to build an inclusive and equitable research environment where individuals of all backgrounds feel valued, supported, and empowered to contribute. We encourage applications from candidates who bring a broad range of experiences and perspectives. Our team works collectively to ensure that Microsoft Research remains a respectful, collaborative, and high-impact space for all researchers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we are dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents.If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.

Responsibilities

As a Post Doc Researcher, you define your own research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and applied research. We highly value collaboration and building new ideas with members of the group and others. You may also have the direct opportunity to realize your ideas in products and services used worldwide.    

Qualifications

Required Qualifications:

• PhD in relevant field (e.g., computer science, statistics, information science, decision sciences, sociology, anthropology, science and technology studies, media studies, law, or related fields), to be conferred by July 2026.

Preferred Qualifications:

• Research ability demonstrated by two conference or journal publications or equivalent writing samples, requested as part of the application.
• Research agenda that overlaps with the Microsoft Research NYC FATE team.
• The ability to work in a highly collaborative and interdisciplinary environment.
• Participation and activity in the scientific community.
• Effective communication skills.

Other Requirements:

How to Apply :

To be assured of full consideration, all application materials, including reference letters, need to be received by  December 15, 2025. Applications received after that date may or may not be considered.

To ensure we receive a complete application from you, please be sure to follow these instructions:

• Upload your CV.
• When prompted in your application, please provide the names and contact information for at least 3 reference letter writers (in nearly all cases, one will be from your dissertation advisor).
• Upload (as separate attachments to your application) 2 conference or journal articles or equivalent writing samples that you are most proud of, and which best demonstrate your expertise in topics relevant to FATE.
• Upload (as an attachment to your application) an academic statement (recommended to be no more than 4 pages) that outlines both your research achievements and agenda.
• After you submit your application, the system will send a request for letters to your list of references on your behalf. Note: The application system will not request reference letters until after you have submitted your application. You may wish to alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of December 15, 2025. While you will not be able to view the letters themselves, you can check the status of individual reference requests within your application.

You can upload documents by going to your profile on the career site and clicking on the Resume Manager tab in the top right of the page, and from there selecting Other Documents.If you are having trouble submitting your application, please go to the bottom of the page and click "Support" and fill out the requested information.

Research Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We're looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models.
• Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.
• Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.
• Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
• Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
• Embody our culture and values.

Qualifications

Required Qualifications

• Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Preferred Qualifications

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.
• Experience prompting and working with large language models.
• Experience writing production-quality Python code.
• Demonstrated interest in Responsible AI.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists, and medical doctors who are working on next-generation Artificial Intelligence (AI) tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain experts. This is a hands-on technical role focused on advancing state-of-the-art model capabilities across a variety of scientific domains and modalities. You’ll spend your time working across the stack from curriculum design, to debugging training runs, through developing new evaluation methods and high-performance inferencing – with a goal of improving all phases of our training process.

As part of Health Futures, you’ll have the opportunity to tackle everything from model training to data and evaluation pipelines. Your work will span the full spectrum of model development – training and optimizing models on the latest hardware, devising new ways to assess their capabilities, and evolving data and training workflows to maximize model utility. Beyond model training, you’ll participate in explorations of how these models can and should be used in the real world – and the systems required to successfully operate them.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

• Lead the design and development of machine learning models and systems for health and life sciences applications, ensuring scalability and reliability.
• Define technical strategy and architecture for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with interdisciplinary teams (including scientists, researchers, and software engineers) to envision and develop AI-augmented scientific systems.
• Mentor engineers and researchers, promoting best practices in ML development, experimentation, and responsible AI principles.
• Ensure security, privacy, and regulatory compliance across ML workflows and data handling.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Preferred Qualifications

• Masters in Computer Science or related technical field AND 6+ years technical engineering experience including significant work in machine learning or applied AI
• OR equivalent experience.
• Proven track record of designing and deploying large-scale ML or MLops systems in research or product settings.
• Hands-on experience with large-scale distributed training of ML models.
• Deep expertise in ML algorithms, model optimization, and frameworks (e.g., PyTorch, TensorFlow).
• Experience with one or more of: optimizing data mixes, mid-training, post-training, model merging, or model distillation.
• Familiarity with security and compliance standards for enterprise and health data.
• Demonstrated ability to communicate effectively and solve problems in collaborative, research-driven environment.

Research #healthfutures #researchsystems

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you excited about building innovative software services that power cutting-edge productivity tools? Do you have experience developing scalable, reliable, and intelligent distributed systems? Are you eager to make an impact by contributing to products used by millions of people worldwide?

As a Software Engineer II, OPG in the OASIS team you will help design, build, and operate cloud services that form the backbone of the M365 Copilot Experience. In this role, you will work on high-scale, distributed systems that enable advanced productivity features for users across the globe. You will collaborate with a diverse group of engineers, PMs, and designers, and work closely with other teams across Microsoft to deliver robust, efficient, and secure services in the Microsoft 365 and Azure ecosystem to meet OPG's (Office Product Group) core service needs. If you are passionate about service architecture, scalability, and delivering high-quality solutions, we’d love to have you join our team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 2+ years of experience C# (Asp.net Core), Python, or JavaScript, and familiar with cloud platforms like Azure or AWS

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience with AI technologies including natural language processing, semantic search, and intelligent agents, utilizing frameworks like Azure OpenAI or Semantic Kernel.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Software Engineer II in the Calendar team, you will design and build AI-powered scheduling systems by integrating backend services and Large Language Models (LLMs) with Application Programming Interfaces (APIs) and Outlook services. You will deliver modern Microsoft Calendar experiences across Monarch and Microsoft Teams, enabling intelligent coordination through Copilot and Places.

Join Microsoft’s Time + Places organization, where we reimagine when, where, and how work happens. Our mission is to leverage cutting-edge Artificial Intelligence (AI) to reduce cognitive load and deliver agent-driven solutions that empower individuals and organizations in the hybrid work era.

This role offers opportunities to work on AI-powered scheduling, asynchronous collaboration, and location-aware coordination. You will be part of a team that values craftsmanship, reliability, and user impact—building services that help people reclaim time, connect meaningfully, and achieve more together.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Responsibilities

• Design and build scalable backend services that power artificial intelligence (AI)–driven scheduling agents supporting millions of daily users.
• Integrate large language models (LLMs) and machine learning (ML) models to deliver intelligent, context‑aware scheduling and coordination experiences.
• Stay current with emerging technologies and AI advancements to enable transformative Copilot experiences for calendar planning and hybrid work scenarios.
• Leverage Microsoft 365 (M365) Graph data, including personal and organizational time and location information, to power Copilot and agent‑based assistance.
• Collaborate with product managers, designers, and partner teams to define user requirements and deliver intelligent scheduling solutions; participate in design reviews, code reviews, and agile planning processes.
• Drive architectural decisions and engineering excellence to ensure reliability, performance, and security in alignment with Microsoft’s Secure Future Initiative (SFI).
• Design and implement backend services for Microsoft Calendar experiences across Monarch and Microsoft Teams, integrating deeply with substrate application programming interfaces (APIs), Copilot, and Places.
• Contribute to planning and execution by identifying dependencies, creating design documents, breaking down larger work items into smaller tasks, and providing accurate estimations with minimal oversight.
• Act as a Designated Responsible Individual (DRI) to monitor systems, features, and services for degradation, downtime, or interruptions and lead restoration efforts for simple problems.
• Champion Microsoft culture and values in all aspects of design, collaboration, and delivery.
• Embody our Culture and Values

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science OR related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python or Azure.
• ORequivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master’s degree in Computer Science or related field AND 3+ years engineering experience, OR bachelor’s degree and 5+ years’ experience, OR equivalent experience, with coding proficiency in languages such as C, C++, C#, Java, JavaScript, Python, or Azure.
• Experience building cloud-native applications and services.
• Problem solving decomposition and presenting efficient solutions through scalable systems design and understanding of distributed systems, APIs, and telemetry.
• User experience, product craftsmanship, and solving real-world problems.
• 5+ years of experience in software development using C#, .NET, TypeScript, or similar technologies.
• Experience using software development agents / assistants to co-develop.
• Experience with Microsoft Graph, M365 services, or workplace productivity tools.
• Familiarity with AI/ML concepts, especially in the context of Copilot or agent-based systems.
• Exposure to hybrid work scenarios, calendar systems, or workplace coordination platforms.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview
OneDrive and SharePoint are rapidly growing services at the center of Microsoft's cloud, interacting with almost every part of Microsoft. You will be a part of a team that is fundamentally changing the way that millions of people use their devices and interact with the most important content for their home, work, and school.   We are looking for smart, agile, and curious engineers who love creating and building things that delight and protect our customers. You will be working with a team of amazing engineers, PMs, and designers, and work closely with other teams across Microsoft to deliver large scale, distributed architectures, and features to meet OneDrive and SharePoint's core service needs.   Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities
- You will work in large-scale distributed systems that are critical for customers around the world.   - You will design and deliver services that manage internet-scale data stores, enable best-in-the-world file and site browsing and editing performance, or add innovative features to how people manage and interact with their data and telemetry. - Given the scope of OneDrive and SharePoint, we have positions that range from the very front end of how a customer interacts with our services, through core system logic, to mega-scale storage, to background infrastructure to support our services and the engineers that build and maintain them. - Everything you do will be supported by a world-class engineering team. - As an Software Engineer II in our team, you will contribute to and help shape the vibrant, inclusive engineering culture of OneDrive & SharePoint.  - You will be expected to do deep, data-driven, collaborative design for additions and changes to our products.   - You will write clean, efficient code and comprehensive tests.   - You will build excellent coverage with metrics and telemetry to ensure we understand exactly what is happening with our services at all times.   - And you will deliver features that will support and serve hundreds of millions of customers around the world.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience.

• Experience collaborating with peers and partner teams to meet joint engineering goals

• Solid coding, debugging, algorithm design, and problem-solving skills.

• Experience with cloud-scale services and server/service management features.

• Able to learn new systems quickly and adapt new methodologies to our services. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python -OR- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Experience with building cloud-scale infrastructure components.

• Awareness, passion, and experience related to cloud scale distributed design and patterns.

• Familiarity with secure software design concepts.

• Proven track record of delivering projects that include multiple components.

• Ability and eagerness to work across and partner with multiple engineering teams to achieve business goals.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.   Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.   #ODSPEng

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.  The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.  

We are seeking a Full stack Principal Software Engineer to join the App Agents team within Power Apps. 

This team will build Agents and services that enable near real-time insights and agentic assistance across model-driven apps. You’ll work on highly scalable systems that empower makers to build intelligent agents per app, transforming how users interact with data and automation.  

This is a strategic opportunity to shape the future of agentic AI in business applications, driving innovation and impact across Microsoft’s low-code platform. Individually, this is where you get to transform yourself to an AI Engineer.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Architect and develop scalable microservices, agents and SDKs that power agentic experiences in business apps.
• Lead technical design and implementation of existing and new features.
• Collaborate with product managers, designers, data scientists and partner teams to deliver high-impact solutions with high-reliability.
• Drive innovation in low-code and pro-code extensibility, enabling makers to build custom agents with ease.
• Drive users from an autonomy scale of 1 to 10 and maximize end-user productivity.
• Mentor and guide engineers, fostering a high-performing and inclusive team culture.
• Ensure security, compliance, and performance across all service components.
• Continuously improve developer experience and platform capabilities through experimentation and feedback loops.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Proven experience in designing and building scalable services.
• Knowledge of Agentic Architecture and integration in products.
• Solid technical leadership and cross-team collaboration skills.
• Deep understanding of service fundamentals: reliability, scalability, maintainability, and performance.
• 10+ years of software development experience with a track record of shipping enterprise-grade solutions.
• Front-end experience in React, Javascript, HTML

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

BICJOBS

Product Design IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are building large-scale, Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. The system integrates advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs) to model recommendations, automate analysis, generate contextual summaries, and streamline workflows across organizational tools. As a Senior Applied Scientist, you will lead the development of these Machine Learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning and ensuring the platform delivers accurate, actionable intelligence at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
• Drive experimentation and validation of models. Mentor less experienced scientists and contribute to model governance and Responsible AI practices.
• Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems.
• Advance feature adoption scoring and health check analytics through data-driven approaches.
• Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques.
• Fine-tune SLMs to efficiently scale the solution to millions of advertisers.
• Generate account planning guidance, tailored talking points, pitch assets, follow ups using agentic orchestration.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
• Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL).
• Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows.
• Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights.
• LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance.

MicrosoftAI

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft is a company where innovators come to collaborate. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business and Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse and the Power Platform Managed Platform provide secure, scalable, and cost-efficient foundations for building AI-powered, governed, and compliant applications at global scale. This team builds platform capabilities and microservices that deliver global scale, security, governance, and managed runtime for customers across Power Platform. You will be part of a team of engineers who thrive on solving complex problems at scale with impeccable quality.

We are looking for a Data Scientist II to join the Managed Platform team, which provides the foundation for global scale, security, governance, and compliance across Power Platform and Dataverse. In this role, you will apply data science techniques to improve platform reliability, optimize performance, and enable AI-driven insights that shape the future of enterprise applications.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Build and deploy machine learning models and statistical analyses to improve platform performance, reliability, and cost efficiency.
• Partner with engineering teams to integrate predictive insights into distributed systems and services.
• Design and analyze experiments (e.g., A/B tests) to validate hypotheses and measure impact on customer experience and platform health.
• Develop dashboards and metrics to monitor model performance and service health.
• Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights.
• Collaborate with cross-functional teams to ensure data quality and effective use of analytics in decision-making.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• 2+ years of experience in data science, analytics, or related areas.
• 2+ years of experience in applied machine learning, statistical modeling, and experimentation.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Proficiency in Python for data analysis and model development.
• Experience with SQL and working with large datasets.

Additional Details  

BICJobs

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you looking for an opportunity to build software and systems for some of the biggest data centers that exist in the world? The Azure Networking team is responsible for designing and building the software defined network infrastructure that powers millions of servers around the globe for Azure, Bing and other Microsoft cloud services. Azure Networking is at the forefront of Hyperscale Cloud Computing and runs one of the largest datacenter network infrastructures in the world. With the explosion of artificial intelligence (AI), Microsoft has been at the forefront of developing and adopting AI technologies. Meeting the next waves of AI technologies requires new generations of network, and the Azure Networking team is tasked to design and build the next generation of AI networks.

Azure Networking team is looking for world-class Software Engineers to help us in building the highest quality software to manage global scale AI networks.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Collaborates with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years of experience with requirement analysis, feature design or test plan writing.
• 3+ years of experience with designing and implementing large-scale distributed systems

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

• Bachelor's Degree in Computer Science
• OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
• OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ years experience with agile methodology.
• Knowledge with the networking areas: Ethernet, Vritual Local Area Networks (VLANs), Internet Protocol (IP) Routing, Transmission Control Protocol/Internet Protocol (TCP/IP), Border Gateway Protocol (BGP), Quality of Service (QoS), L2-L3 protocols, QOS, network congestion management, network management.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft Research seeks a Senior Researcher specializing in one or more areas of Artificial Intelligence (AI) infrastructure, Machine Learning (ML) systems, and high-performance computing (HPC) systems. The position involves working collaboratively to advance state-of-the art in AI Systems and improving the efficiency and scalability of production systems across the full AI model lifecycle: pre-training, supervised fine-tuning, reinforcement-learning-based post-training, and inference.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

MSRR

Responsibilities

• Drive high-impact research in AI infrastructure, ML systems, HPC systems, with a focus on building large production-scale systems.

• Collaborate to develop and test out new ideas within existing or new collaborative teams.

• Build and maintain state of the art systems in this space.

• Collaborate in preparing technical papers and presentations.

Qualifications

Required Qualifications

• Doctorate (or are currently pursuing)  in ML systems, high-performance computing, or relevant fields AND 3+ years related research experience

Preferred Qualifications

• 3 years of experience building large scale AI infrastructure, ML systems, and/or HPC systems.

• Active participation in engineering efforts in the above areas, with involvement in building and maintaining systems.

• Active participation in research as demonstrated by publications.

• Demonstrable ability to work in a multi-disciplinary team.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Are you an experienced product leader looking for an opportunity to work on some of Azure’s biggest challenges? We are the Engineering Operations (EngOps) team, and we are looking for a Principal Program Manager to join our team.

We sit within the Azure engineering organization and consider customer-facing operational experiences to be essential to the success of the cloud. Our mission is to reduce customer impact during platform events and empower customers with world-class, AI-driven action and guidance when they need clarity, action, or confidence. Our team builds the core experiences and platforms that shape how customers understand the state of their services, navigate issues, and make informed decisions.

We are now expanding our charter to bring Engineering Operations capabilities directly to third-party Azure customers through both Azure Portal and programmatic experiences, enabling them to benefit from the same operational insights and guidance used internally at Microsoft. This role will be central to defining and shaping that offering.

We are looking for a Principal PM to define and deliver a new customer-facing offering that brings EngOps capabilities directly to third-party Azure customers. You will unify and integrate existing Azure operational experiences and build a cohesive, AI-driven solution that scales across the Azure ecosystem. You will work across engineering, data science, marketing, and partner teams to shape the strategy, validate market fit, establish the business model, and drive the product from early pilots to global availability.

This is a high-impact role with visibility across Azure leadership.

Responsibilities

Job Responsibilities:

• Lead the product vision and strategy for bringing EngOps capabilities to third-party Azure customers unifying existing operational experiences, defining the end-to-end customer journey, and shaping an AI-driven, integrated solution that delivers clear customer value.
• Conduct deep customer, market, and competitive analysis to identify unmet needs, validate product-market fit, size opportunities, and produce a compelling business case and ROI model that informs product direction and monetization strategy.
• Drive cross-disciplinary execution by partnering with engineering, data science, design, and platform teams to define requirements, align on architecture and telemetry, and deliver rapid, high-quality iterations from early pilots to broad-scale release.
• Collaborate with Product Marketing and Business Planning to define go-to-market and customer acquisition strategies, develop monetization approaches, and support launch readiness through messaging, content, and rollout planning.
• Engage directly with early customers and partners to gather insight, validate scenarios, refine the offering, and guide ongoing product improvements using data, feedback, KPIs, and rigorous performance evaluation.

Qualifications

Required Qualifications:

• Bachelor’s degree or higher in computer science or a related field AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• Experience translating customer requirements and scenarios into features, including writing software specifications with user experiences
• Experience driving cross-company and cross-organization products and programs
• Experience using data to drive prioritization and measure progress
• Experience presenting to and managing product status with senior company leadership

Preferred Qualifications:

• Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
• Exceptional collaboration and communication skills (verbal and written)
• Experience with data analytics, AI, LLMs, and related technologies

Minimum Qualifications:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).

PRIMOjobs

EngOps

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Within GitHub and Microsoft CoreAI, the Copilot CLI team builds GitHub’s coding agent in the terminal, and the core agent loop that powers agentic experiences across GitHub and Microsoft. Our work spans the full software development lifecycle, with a focus on turning modern AI systems into reliable, production-grade developer tools.

We are looking for a Senior Software Engineer to help build a world-class coding agent CLI. This role is for engineers who care deeply about product quality, end-to-end ownership, and the details that separate promising tools from ones developers trust and adopt daily.

Our work sits at the intersection of agentic AI systems and high-performance developer tooling. We are particularly interested in candidates with strength in one or more of the following areas:

• Building, evaluating, and iterating on agentic systems, including tool design, agent loops, benchmarking, and quality optimization

• Building delightful, high-performance terminal experiences, including terminal UIs, low-level primitives, and systems that feel fast, predictable, and polished

Engineers on this team operate with high autonomy and a strong product mindset. You will own large surface areas end-to-end, partner closely with product and design, and push to continuously raise the quality bar for both the CLI and the underlying agent platform used across GitHub and Microsoft.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As part of GitHub and CoreAI, we build developer tools that materially improve how software is written, reviewed, and shipped, while maintaining a culture of ownership, rigor, and technical excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Take ownership of critical product and platform areas of the Copilot CLI and shared agent runtime

• Set a high technical and quality bar for agentic systems and developer-facing tooling

• Design and ship performant, reliable terminal experiences that developers depend on for daily work

• Use data, benchmarks, and direct user feedback to guide iteration and investment

• Collaborate across org boundaries to enable other teams to build agentic products on top of a shared foundation

• Influence architecture, technical direction, and engineering standards beyond your immediate team

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

• Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration

• 5+ years of experience building and shipping customer-facing developer products, with depth across platform/foundation systems and user-facing experiences

• Strong product mindset with a track record of owning ambiguous problem spaces and driving them to high-quality outcomes

• Solid engineering fundamentals, including systems design, performance, and debugging in complex production environments

• Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops

• Experience building terminal user interfaces (TUIs) or working with low-level terminal primitives is a strong plus

• Experience contributing to or leading open-source projects at scale is a plus

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

As a Software Engineer on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.
• Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.
• Debug and resolve complex networking issues in large-scale, high-performance environments.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:             

• Bachelor's Degree in Computer Science
• OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
• OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 1+ years experience with any of the following: High Performance Networking, InfiniBand, RoCE, CUDA

azurecorejobs

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team?Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. 

Our team is at the heart of delivering scalable, resilient, and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative Senior Customer Engineer with a strong development experience and focus on AI/ML, agentic systems, and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms and contribute to the strategic direction of customer engineering for GSX and commercial businesses. The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.

Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Architect, design, and implement scalable software solutions that support core ACES functionalities.
• Develop intelligent agentic systems capable of autonomous decision-making and task execution.
• Build and optimize AI agents using AI Foundry, Python, and reinforcement learning techniques.
• Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
• Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
• Collaborate with product managers, researchers, and engineering teams to define technical requirements and deliver innovative solutions.
• Drive technical excellence through mentorship, code reviews, and adoption of best practices.
• Own the end-to-end lifecycle of software components, including design, development, testing, deployment, and maintenance.
• Contribute to architectural decisions, scalability strategies, and long-term technical vision.
• Evaluate and integrate emerging technologies to enhance platform capabilities.
• Ensure high standards of software quality, performance, and security.

Qualifications

Basic Qualifications:

• Bachelor’s degree in computer science, Engineering, or related field.
• 8+ years of experience in software development, with a strong track record of delivering complex systems.
• Proficiency in Python and C# with deep experience in AI/ML and full stack development.
• Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.
• Strong understanding of data structures, algorithms, system design, and distributed computing.
• Experience with cloud platforms (Azure) and microservices architecture.

Preferred Qualifications:

• Bachelor’s/master’s in computer science, AI, or related field.
• Experience with CI/CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).
• Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.
• Proven leadership in driving technical initiatives and mentoring engineering teams.
• Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Customer Experience Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the auto-bidding platform that powers real-time ad auctions across Microsoft’s marketplaces—leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic auto-bidding platform — one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.Explore and invest in emerging AI techniques— multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 4+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink.
• 4+ years of experience as a technical lead, including mentoring and guiding engineers.
• 7+ years of experience developing and deploying large-scale distributed systems in production environments.
• 7+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management.
• Domain knowledge and experience building large scale distributed bidding or auction platforms.
• Experience building real world applications using AI techniques.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

MicrosoftAI

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration with business insight and strategy?

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Join the Systems Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.

We are seeking a highly skilled Senior AI Software Architect to join our team focused on model enablement and performance optimization for Maia accelerators. This role is ideal for someone with strong experience in PyTorch-based model development, quantization techniques, and parallelization strategies at the framework level. You will work closely with hardware and software teams to bring up models on Maia and ensure they run efficiently.

Responsibilities

Model Enablement:

• Port and optimize large-scale AI models (e.g., foundation models, diffusion models, YOLO) to run efficiently on Maia hardware.

• Integrate models using frameworks such as PyTorch, ONNX, vLLM, and SGLang.

Performance Optimization:

• Apply techniques like KV cache quantization (e.g., BF16 → FP8), checkpointing, and re-sharding for efficient inference and training.

• Experiment with parallelism strategies (TP, PP) and analyze performance impacts across interconnects (NVLink vs PCIe).

Inference Stack Development:

• Collaborate on improving inference pipelines, including KV caching in sglang/vllm and performance tuning at the PyTorch level.

• Work with Triton kernels for basic operations (e.g., FP8 dequantization) and assist in kernel performance analysis.

Cross-Team Collaboration:

• Partner with hardware architects and kernel developers for co-design discussions.

• Communicate effectively with multiple stakeholders to align on performance goals and deliverables.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Bachelor's Degree in Computer Science or Engineering.
• 3+ years of strong hands-on experience with PyTorch and model optimization techniques.
• Practical knowledge of quantization techniques like PTQ/QAT especially for KV cache quantization.
• Familiarity with parallelization strategies and distributed training concepts (e.g., sharding, allreduce).
• 2+ years of experience with AI inference stacks like SGLang/vLLM and performance profiling.
• Excellent problem-solving and communication skills; ability to work in a collaborative team environment.
• 3+ years of experience in Triton kernels and CUDA programming (basic understanding is acceptable but willingness to learn is essential).
• Experience with AI accelerator hardware and embedded systems.
• 3+ years of prior work on efficient model checkpointing, resharding scripts, and large-scale model deployments for serving at scale.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Viva Engage connects people through communities, bringing leaders and employees together to share knowledge, clarify priorities, build culture and relationships.   Viva Engage (formerly Yammer) is the premier tool to create multi-directional dialogue between tens of millions of employees worldwide every month.

Engage team members are at the forefront of driving AI applications and copilot adoption to make communication and information sharing easy and authentic. Our work supports top challenges for our customers, spreading shared knowledge, including digital safety, trusted security standards, and deep analytics to help our customers maximize reach, reduce inefficiencies, and create a thriving organizational culture. We would love to have you join the team driving innovation, connection, and community for our valued global customers. #VivaEngage

About this Job
As a Principal Applied Scientist at Viva Engage, your role is to build Agentic applications across our product, predictive models that connect individuals with each other and knowledge across organizations. Our focus lies in discovery, recommendations, relevance and grounding for features across Viva Engage, leveraging data from our platform and across Office 365.

What makes this role special?
This role presents an opportunity to create a vision around the Viva Engage Agentic Applications, the underlying platform and help us make it a reality. Our tight-knit, high-performing team, coupled with the unique challenges posed by social enterprise analytics, will offer plenty of opportunities for impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, build, and ship machine learning and LLM-driven capabilities that directly power AI features in Viva Engage, with clear product KPIs (e.g., activation, retention, engagement, moderation quality, time saved).
• Own end-to-end delivery of applied science solutions: problem framing → data/labels → modeling/prompting → evaluation → experimentation (A/B tests) → deployment → monitoring → iteration.
• Develop and operationalize AI agents for knowledge discovery, moderation, communities, and events—focused on measurable user value, automation, and high-quality recommendations.
• Work with large, complex datasets to solve ambiguous, non-routine product problems using advanced statistical and ML methods, prioritizing approaches that are production-viable.
• Utilize Large Language Models (LLMs) for advanced text analysis and natural language understanding tasks, enabling deeper connections and knowledge sharing across organizations.
• Leverage generative AI techniques to enhance data augmentation and predictive capabilities, further improving recommendations and personalized user experiences.
• Develop deep product intuition to influence future product roadmaps and drive decision-making by making pragmatic tradeoffcs between model quality, engineering complexity, and time-to-value.
• Collaborate with product and engineering to craft experiments and test hypotheses.
• Communicate clearly across disciplines: translate complex technical decisions into product implications, risks, and expected outcomes.
• Operate effectively in complex, cross-team environments and drive alignment through technical leadership and execution.

Hands On Expectations:

• This is a hands-on applied science engineering role: you will write production-quality code, prototype quickly, and implement your own solutions (not just analyses, papers, or slide decks).
• You will contribute directly in areas such as Python/TypeScript/Java services or pipelines, Prompt/Agent orchestration, Evaluation harnesses, Experimentation instrumentation, and model/agent monitoring.
• Success is defined by shipped features and measurable product impact.

In this role/team you will have:

• Autonomy and freedom to innovate—paired with accountability to deliver customer-facing outcomes collaborating with PM/Eng/UX as necessary.
• The ability to choose from best-in-class open source and Microsoft technology to ship reliably at scale.
• A strong experimentation culture: offline eval + online A/B testing to make data-driven decisions.
• An opportunity for outsized impact as part of a small but mighty team on a rapidly growing product needed now more than ever.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

vivaengage

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Azure is the foundation of Microsoft’s Cloud Services and a central pillar of Microsoft’s evolving cloud sovereignty strategy. As customers face increasing demands around data residency, operational control, resilience, and transparency, Azure is evolving to meet these needs at global scale. Built on a secure‑by‑design foundation, Azure delivers world‑class security, compliance, and operational resilience while enabling customers to retain control over their data and operations with transparency and auditability.

Microsoft has an exciting opportunity for a Senior Techncial Product Manager in the Cloud+AI Microsoft Specialized Clouds team. This team is responsible for deploying and operating services, including the infrastructure that supports collaboration and mission‑critical workloads. The work directly contributes to Microsoft’s sovereign cloud capabilities, ensuring platforms can operate independently when required while remaining aligned with the core Azure ecosystem.

In this role, you will partner closely with engineering teams. The systems and software you build will be required to meet the security policy and assurance requirements of customers.  You will help shape systems and processes that assume zero trust by default that are scalable, repeatable sovereign capabilities. Your work will support both public‑sector and regulated commercial customers as Microsoft evolves its cloud architecture to meet the next generation of sovereignty expectations.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Senior Technical Product Manager, your mission is to turn problems and gaps into the capabilities of tomorrow. You will be responsible for defining capabilities and partnering with engineering counterparts to deliver and operate them. You will work closely with stakeholders to understand their needs and define the product roadmap to ensure our offerings meets those needs.

As a part of a growing team, your responsibilities will include:

• Product Strategy: You will help shape our cloud roadmap by translating customer needs into scalable capabilities, tools, and processes. This role partners closely with customers and sales teams to gather signals, lead requirements workshops, and advise on solution design and deployment. As the voice of the customer, you will synthesize customer and market insights to drive clear prioritization decisions, ensuring strong return on investment and alignment with Microsoft’s strategy. You will collaborate across engineering and business stakeholders to deliver solutions that meet customer needs and maximize business value.
• Architecture: You will help mature the cloud architecture, identify opportunities for design optimization, and ensure our cloud is positioned to scale.
• Communications: You will be responsible for establishing and maintaining regular communications about the status of our cloud and upcoming developments. In addition, you will be able to conduct insightful conversations with senior business and technical decision makers inside and outside Microsoft.
• Team Collaboration: You will pull stakeholders together to align on a shared vision, working with a talented and diverse group of PMs, Developers, and internal teams that rely on our services to be successful. You must be a great collaborator, able to work effectively across broad teams and influence stakeholders of all levels and of all disciplines across Microsoft. Ability to engage colleagues across a large, diverse, and distributed organization to drive decisive action that delivers results for expanding the market for Azure across international boundaries.
• Cultural Leadership: Ability and passion to lead cultural initiatives, having positive impact on team morale and fostering an environment of inclusion
• Embody our culture and values

Qualifications

Required / Miniumum Qualifications:

Bachelor’s Degree AND 5+ years’ experience in product/service/project/program management or software development or equivalent experience.

Other Requirements:

• This position is not elibile for visa sponsorship. Candidates must have authorization to work in the United States that does not, now or in the future require employer sponsorship.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 6+ years of software development, product management, or technical program management with a strong track record of shipping products and services
• Ability to deal with ambiguity, navigate uncertain situations, and drive for clarity
• Previous experience and success in an engineering role where you delivered cloud services.
• Demonstrated experience in planning, cross-group collaboration, communications, analytical capabilities, and attention to detail.
• Passion and proven record for execution with measurable results; focus on delivering impact.
• Outstanding interpersonal skills, innovation, and the ability to motivate, inspire, and lead cross group/functional teams with a high degree of independence and success.
• Ability to work successfully across a complex, highly matrixed environment
• Ability to deal with ambiguity, navigate uncertain situations, and drive for clarity
• Demonstrated strong capability in verbal and written communications skills across a geographically dispersed audience

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Senior Software Engineer – Auction Logic – Monetize Platform

We built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps.

The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.

Microsoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring.

As a Senior Software Engineer, you will

• Lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform.
• You will collaborate with a team of smart, passionate engineers.
• You will own significant areas of the Monetize real-time platforms and function as the architect.
• You will participate in setting the roadmap and direction for your areas of responsibility.

About the team:

The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting. The Monetize real-time platform is a large-scale distributed platform operating under strict real-time constraints, responding to and executing real-time, dynamic auctions in less than 100 milliseconds. In the past few years, we've grown from processing 300k QPS to over 5 million QPS for an approximate total of 100 billion requests per day. These events generate more than 150 TB of new data every day. Engineers work on the real-time components to optimize our software for performance, space, and algorithmic efficiency. The application that processes all those requests, impression bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers in the digital marketplace as well as resolve complex technical issues that arise because of the immense scale of our platform.

About the job:

As a technical leader you’ll design and implement solutions that span multiple applications on the real time platform, are high quality, require hard real time constraints, are easy to operate and maintain, and make the lives of product engineers easier.  You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients. responsibilities will include:

• Designing and implementing scalable solutions including new features and enhancements of our Platform.
• Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications.
• Produce prototype features quickly and participate in gathering feedback from clients.
• Bring innovation to the team in new features, improving build processes and product development lifecycle.
• Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness.
• Support and debug production level issues and provide fixes in an expedient manner.

More about you:

• You are focused on building high-quality, intuitive products.
• You are passionate about learning and teaching.
• You love challenging yourself to constantly improve and sharing your knowledge to empower others.
• You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity.
• You are not satisfied with the status quo and are always looking to improve how things are done and what is built

Responsibilities

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 5+ years of experience as a professional software developer.
• Experience building high performance, multi-threaded, distributed systems and applications, preferably in a Linux environment.
• Experience practicing advanced optimization techniques.
• Solid fundamental understanding of generalized architecture patterns and service-oriented architecture (SOA).
• Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.
• Excellent and creative problem-solving abilities. We will consider extensive experience with other languages as well, e.g., Rust, Go, etc.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

MicrosoftAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of expertise and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This expectation is subject to local law and may vary by jurisdiction. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 15+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. 4+ years experience with data governance, data compliance and/or data security. Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). Own and maintain critical data infrastructures, including spark, ray, vector databases, and others. Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.

Overview

Microsoft Quantum is dedicated to solving the world’s intractable problems and altering our economic, industrial, academic, and societal landscape. In just hours or days, a quantum computer can solve complex problems that would otherwise take today’s computers billions of years! This has massive implications for research in healthcare, energy, environmental systems, smart materials, and more. Most importantly, Microsoft brings the only scalable quantum system to the broadest set of customers. For more information about our team, visit https://www.microsoft.com/en-us/quantum.

We are seeking a highly skilled and motivated Senior Hardware Engineer with a focus on device yield to join our team. This role is central to advancing our quantum hardware roadmap and requires deep expertise in superconductor and semiconductor physics, device fabrication, and crystal chemistry.

The successful candidate will lead efforts in designing robust test structures, and evaluating device performance across cryogenic and room temperatures. You will apply advanced statistical analysis and data mining techniques to extract insights from electrical tests and yield data, coordinate low yield components submissions for failure analysis investigations, collaborate across hardware and software teams to improve manufacturability, and contribute to scalable quantum device production.

Your work will directly inform design decisions, fabrication strategies, and future development efforts, helping shape the future of quantum computing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Conduct deep analysis of device performance across temperature regimes using statistical and exploratory techniques to extract insights from inline data, end of line room temperature electrical and cryogenic data.

• Develop scripts and applications that transform experimental data into strategic guidance for yield improvement and roadmap alignment.

• Design and implement test structures and programs to validate advanced design rules and extract key parameters for superconducting devices and interconnects.

• Collaborate with design and system teams to establish performance benchmarks, resolve circuit-level challenges, and scale manufacturability.

• Maintain and evolve PDKs and documentation, ensuring alignment across hardware teams and accessibility of design assets.

• Collaborate with process development engineers to articulate problem statements, formulate hypotheses and facilitate the resolution of yield issues.

• Other:

• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Electrical Engineering, Materials Science, Physics, or related field AND 6+ years experience in industry or in a research and development environment

• • OR Master's Degree in Electrical Engineering, Materials Science, Physics, or related field  AND 4+ years experience in industry or in a research and development environment
• • OR Doctorate in Electrical Engineering, Materials Science, Physics, or related field  AND 1+ years experience in industry or in a research and development environment, could include completion of a post doctoral research position
• • OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• • Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

• Experience using AI to streamline research and manufacturing processes.

• Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs).

Preferred Qualifications:

• Doctorate in Electrical Engineering, Materials Science, Physics, or related field AND 3+ years experience in industry or in a research and development environment, could include completion of a post doctoral research position

• • OR Master's Degree in Electrical Engineering, Materials Science, Physics, or related field  AND 6+ years experience in industry or in a research and development environment
• • OR Bachelor's Degree in Electrical Engineering, Materials Science, Physics, or related field  AND 8+ years experience in industry or in a research and development environment
• • OR equivalent experience.
• Experience with statistical Process Control (SPC), and Design of Experiments (DOE) principleFamiliarity with Electronic Design Automation (EDA) tools such as Cadence Virtuoso, Synopsys, Mentor Graphics, or Keysight ADS.
• Deep understanding of superconducting and semiconductor physics, device fabrication, and solid state chemistry.
• Experience in developing code in high-level languages (e.g. Python, Matlab) in a version-controlled environment (e.g. Git).
• Experience designing and implementing interactive dashboards (e.g., using Power BI, Tableau, or equivalent) to visualize Pareto analysis and yield metrics, including drill-down capability for root cause identification and trend monitoring across process steps.
• Industry experience in semiconductor processing fundamentals (lithography, wet etch, dry etch, thin film deposition, etc.).
• Familiarity with Manufacturing Execution Systems (MES) for tracking work-in-progress (WIP) in a fabrication environment is highly desirable. Experience using MES platforms to monitor production status, optimize workflow, and ensure traceability of materials throughout the fab process is a strong asset.
• Data analysis skills with demonstrated ability to construct clear data-based problem statements and knowledge of quantum physics, behavior of semiconductors at cryogenic temperatures.

Quantum #QuantumCareers #MDQCareers

Quantum Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

As a Principal Software Engineer on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Partner with appropriate stakeholders to determine user requirements for a set of scenarios.

• Lead identification of dependencies and the development of design documents for a product, application, service, or platform.

• Leads by example and mentors others to produce extensible and maintainable code used across products.

• Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.

• Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.

• Debug and resolve complex networking issues in large-scale, high-performance environments.

• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.

• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.

• Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• Hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, NVLink).

• In-depth understanding of networking protocols (e.g., Ethernet, TCP/IP, RDMA, gRPC) and distributed systems.

• Familiarity with network virtualization, software-defined networking (SDN), or network performance tuning.

• Familiarity with AI accelerators such as GPUs (NVIDIA, AMD) or TPUs, and how they interact with networking infrastructure.

• Experience with telemetry and observability tools for network monitoring at scale.

• Background in building scalable and fault-tolerant systems in large, distributed environments.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The HPC/AI (High-Performance Computing and Artificial Intelligence) organization is on a mission to build the next generation of distributed AI supercomputers—systems that deliver unprecedented computational power, scalability, and reliability to accelerate breakthroughs in artificial intelligence. Our teams design and develop world-class AI infrastructure that enables large-scale model training and inference, forming the backbone of Microsoft’s AI innovation.

As a Principal Software Engineering Manager, you will lead a team building foundational components of Azure’s AI networking infrastructure—powering some of the largest and most complex distributed training systems in the world. This is a rare opportunity to work at the intersection of AI, cloud infrastructure, and high-performance networking, driving innovation across hardware and software boundaries. With the explosive growth of generative AI and the demand for low-latency, high-bandwidth systems, your work will directly impact the scale, performance, and reliability of Microsoft’s AI platforms.You will lead the design, development, and deployment of high-performance, scalable, and observable networking systems that connect AI accelerators at massive scale. The role requires deep technical acumen, strategic thinking, and a passion for engineering excellence. You’ll collaborate across Microsoft teams to define architecture, deliver solutions to complex infrastructure challenges, and ensure our systems meet the evolving needs of AI workloads.If you’re passionate about building large-scale distributed systems, pushing the boundaries of AI infrastructure, and leading teams that shape the future of supercomputing, we invite you to join us on this journey to define the next era of AI at Microsoft.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Hire, manage, and grow a high-performing team of software engineers, fostering a culture of excellence, inclusion, and innovation.
• Lead the design and development of large-scale distributed systems and services that power Azure’s AI infrastructure.
• Drive engineering planning and execution while ensuring alignment with organizational OKRs and long-term strategy.
• Establish lean, scalable, and efficient processes that promote innovation and engineering rigor.
• Deliver best-in-class engineering by ensuring services and components are modular, secure, reliable, diagnosable, observable, and reusable.
• Improve test coverage, automation, and integration testing to proactively identify and resolve reliability gaps.
• Ensure live-site reliability and service health through robust monitoring, telemetry, and automation.
• Collaborate across Microsoft and partner organizations to deliver cohesive, end-to-end infrastructure solutions.
• Apply data-driven insights to optimize performance, scalability, and customer satisfaction.
• Champion Microsoft’s culture by modeling, coaching, and caring—nurturing diversity, inclusion, and continuous growth for your team and peers.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications (PQs):

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 4+ years people management experience.
• 10+ years of professional software design and development experience in large-scale distributed systems.
• Experience building and operating networking infrastructure for hyperscale datacenters or AI clusters.
• Hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, MRC, NVLink).
• In-depth understanding of networking protocols (e.g., Ethernet, TCP/IP, RDMA, gRPC) and distributed systems.
• Familiarity with network virtualization, software-defined networking (SDN), or network performance tuning.Familiarity with AI accelerators such as GPUs (NVIDIA, AMD) or TPUs, and how they interact with networking infrastructure.
• Experience with telemetry and observability tools for network monitoring at scale.Background in building scalable and fault-tolerant systems in large, distributed environments.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you passionate about storage and building industry leading software and services?  Office 365 is the locomotive that is driving the growing Microsoft valuation, and critical to the future of Microsoft.  OneDrive and SharePoint (ODSP) are the set of intelligent, high value services and compliant environment that is enabling the next generation of transformative end-user experiences for Office and the entire company. The ODSP team has an opportunity for you get in on designing and building a core part of the stack.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond

Responsibilities

• Analyze, design, and implement improvements to improve performance and security, reduce Cost of Goods Sold (COGS), and drive those changes across multiple products.
• Solid analytical, design, and development skills with depth in databases, storage, high performance data structures, and algorithms and a passion for analyzing and improving performance - I/O, memory, CPU, and concurrency.
• Solid development background, excellent communication skills, and a strong foundation in Computer Science.
• Lastly, because the work is done indirectly on behalf of a large team, influencing without authority is key to success.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 6+ years experience with C# or C/C++, design, implementation, and debugging.
• Experience with distributed systems, performance analysis, databases, and/or large-scale data processing.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Knowledge of Azure services and systems a plusExperience with financial analysis a plus.
• Experience with building cloud-scale infrastructure components.
• Awareness, passion, and experience related to cloud scale distributed design and patterns.
• Familiar with secure software design concepts Proven track record of delivering projects that include multiple component.
• Collaborate with partner teams to meet the engineering goals in a unified manner.
• Solid communication skills (both written and oral)Ability to prioritize tasks and work independently.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The HPC/AI (High performance Computing and Artificial Intelligence) team is on a mission to build the next-generation distributed AI supercomputer, enabling breakthroughs in artificial intelligence by delivering unmatched computational power, scalability and reliability. We design and develop cutting-edge infrastructure that supports high-performance AI model training at scale, laying the foundation for innovations that redefine what AI can achieve.

We are seeking passionate and innovative software engineers to design and build cutting-edge networking infrastructure that powers large-scale AI training. This role focuses on developing next-generation networking capabilities to ensure high performance, low latency, and minimal jitter for distributed AI workloads. You will play a critical role in enabling state-of-the-art AI systems to achieve their full potential.

As a Senior Software Engineer on the HPC/AI team, you will play a pivotal role in shaping the next-generation networking infrastructure for AI training and inference in Azure Cloud. This is a unique opportunity to work at the intersection of two of the hottest fields in technology: AI and high-performance computing. With the explosive growth of generative AI and the increasing demand for large-scale, low-latency systems, this area is at the forefront of innovation and impact. You will work across diverse network architectures and cutting-edge processor and accelerator technologies, driving the design and delivery of a comprehensive, end-to-end solution with a relentless focus on performance, scalability, and observability. If you’re passionate about groundbreaking technology, large-scale systems, and AI infrastructure, join us to build the platform that will power the future of AI supercomputing!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design, develop, and optimize networking solutions tailored for large-scale AI training infrastructure. Architect and implement high-performance, low-latency, and low-jitter communication frameworks for distributed systems.
• Benchmark, analyze, and enhance the scalability and reliability of networking systems to handle petabyte-scale data transfer.
• Debug and resolve complex networking issues in large-scale, high-performance environments.
• Drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seek new knowledge and adapts to new AI trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science OR related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• In-depth understanding of networking protocols (e.g., Ethernet, TCP/IP, RDMA, gRPC) and distributed systems.
• Familiarity with network virtualization, software-defined networking (SDN), or network performance tuning.
• Hands-on experience with networking technologies in AI-specific hardware (e.g., InfiniBand, ROCE, NVLink).
• Familiarity with AI accelerators such as GPUs (NVIDIA, AMD) or TPUs, and how they interact with networking infrastructure.
• Experience with telemetry and observability tools for network monitoring at scale.
• Background in building scalable and fault-tolerant systems in large, distributed environments.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft Teams is at the forefront of transforming collaboration. We are seeking a highly experienced Senior Product Manager to lead the development of next-generation infrastructure and developer tooling for agents on the Microsoft Teams platform. In this role, you will own the vision, strategy, and execution of a critical component of Teams’ ecosystem that empowers developers to build intelligent, scalable agents—ranging from AI-powered assistants to automated task agents. You will work cross-functionally with engineering, design, marketing, and partner teams to deliver new A.I. driven extensibility solutions that enhance the depth of the Teams experience for millions of users and developer partners.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Vision & Strategy:
• Define and communicate the long-term vision and strategy for the infrastructure and tooling that supports agents within the Microsoft Teams platform.
• Develop a comprehensive product roadmap that aligns with Microsoft’s broader cloud and collaboration strategies.
• Product Development & Lifecycle Management:
• Collaborate with engineering and UX teams to design, build, and launch scalable infrastructure solutions and developer tools that accelerate the creation and deployment of agents.
• Oversee the complete product lifecycle—from ideation and requirements gathering to development, launch, and continuous improvement.
• Cross-Functional Leadership:
• Lead cross-organizational teams, working closely with internal stakeholders (including engineering, security, compliance, and operations) to ensure product quality, scalability, and alignment with Microsoft’s architectural standards.
• Drive alignment between teams on critical initiatives, acting as the primary liaison between business, technical, and partner organizations.
• Developer Ecosystem & Engagement:
• Advocate for developers by gathering feedback, identifying pain points, and translating these into actionable improvements in the agent infrastructure and tooling.
• Champion best practices and foster a community around the use of Microsoft Teams as a platform for building intelligent agents, including providing thought leadership in developer experiences.
• Performance & Operational Excellence:
• Establish key performance metrics and success criteria to monitor and optimize the infrastructure’s performance, cost, and reliability.
• Proactively manage risks, mitigate issues, and continuously drive improvements to ensure a seamless developer experience and high service reliability.

Qualifications

Required Qualifications:

• Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development
• OR equivalent experience.
• 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
• Prior experience with Microsoft Teams or similar collaboration platforms.
• Demonstrated success in leading large-scale, cross-functional initiatives within cloud or collaboration software environments.
• Solid technical background with the ability to engage deeply with engineering teams, understand architectural trade-offs, and drive strategic technical decisions.
• Excellent communication, influencing, and stakeholder management skills, with experience in translating technical details to business and executive audiences.
• Deep understanding of cloud infrastructure, DevOps practices, continuous integration/continuous deployment (CI/CD), and Infrastructure as Code (IaC).
• Familiarity with AI agent frameworks, conversational interfaces, or related developer tooling.
• Proven ability to innovate and drive change in fast-paced, dynamic environments.

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft is at the forefront of a new era in productivity, and Microsoft 365 Copilot is redefining how we build and deliver AI experiences. We are a small, focused team within MSAI Office of the CTO (OCTO) committed to driving Copilot Agility — accelerating how we innovate, build, and scale the Copilot platform across Microsoft. We are looking for a Principal Software Engineer who combine deep technical experience in backend, data, and ML systems with a passion for agility and impact. In this role, you will design and lead the development of scalable systems and tools that accelerate Copilot engineering velocity across Entertainment and Devices (E+D) (M365 Core, OPG, GXP, etc). You’ll work closely with partners across product, data, and infrastructure to drive high-impact projects such as the Copilot Data Platform, while mentoring engineers and influencing technical direction across teams.

The qualified candidate is highly technical, independent, and hands-on — someone who thrives in complex environments, ramps up quickly, and consistently delivers results. You’ll play a key role in helping teams adopt agile development practices and accelerate AI-driven initiatives that power the next generation of Copilot experiences.

If you’re excited about improving how AI systems are built and delivered, and you want to make a visible impact on Microsoft’s Copilot platform, this is the right role for you.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Lead architectural design and discussions for core systems and platforms that improve the agility, performance, reliability, and efficiency of Copilot development.
• Drive identification of dependencies and development of technical design documents across products, applications, and services to ensure coherence and scalability of Copilot platform solutions.
• Define and implement quality strategies — mentoring others in test planning, validation, and success criteria to ensure resilient and high-quality software and service delivery.
• Establish and apply engineering metrics to drive quality, stability, and maintainability, while promoting best practices and reusable design patterns.
• Lead the creation and improvement of internal tools and frameworks that enhance developer velocity, automation, and overall system effectiveness.
• Collaborate closely with engineers, TPMs, and partner teams across product, infrastructure, and research to deliver enterprise-grade solutions adopted at scale across E+D and Microsoft.
• Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 2+ years experience designing and leading large-scale, distributed backend, data, or ML systems in production environments.
• Demonstrated ability to set technical direction, influence architecture, and mentor engineers to deliver scalable, maintainable, and high-quality systems.
• Experience driving cross-team engineering initiatives, balancing hands-on contributions with strategic technical leadership.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience working with State-OF-The-Art (SOTA) AI tooling to accelerate software development lifecycle.
• Experience in data platforms or ML pipelines supporting AI-driven applications.
• Experience defining and tracking engineering metrics — including performance, reliability, observability, and agility.
• Reliable understanding of developer productivity tooling and practices that reduce cycle time and increase development velocity.
• Passion for continuous improvement, technical innovation, and enabling teams to build better software faster.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Do you want to directly impact hundreds of millions of devices every month and enjoy the gratification that comes from keeping millions of customers protected from the ever-growing threats of cyberattacks? Do you have the engineering skills, attention to details and quality, passion for building systems and services that delights our customers and allows them to be productive? Do you want to be part of a diverse, fast paced and highly technical team that takes pride in regularly delivering value to our business customers on time with quality in an agile cadence? You will want to talk to us!

We are part of Windows Servicing and Delivery (WSD) team that delivers high quality servicing releases to keep Microsoft customers protected and productive by continuously building and delivering Windows Operating System updates to consumers, enterprises and Microsoft Cloud customers.

Our team is trying to solve the problem of not only keeping the Windows powered enterprises, data centers, and cloud services safe and secure through software updates but also to consume these Windows updates with zero to minimal downtime such that businesses and consumers continue to remain available and productive deploying these updates. We are building a system that will help in engineering, building, delivery and deployment of software updates for a code base as big and wide as Windows in a re-bootless way. We are building a modern AI powered engineering system that is intelligent, efficient and can operate on a scale to produce re-bootless updates. We will also enhance Windows with new innovations and capabilities to deploy, monitor and manage these updates. You will work across OS components, compiler-linker-loader tool chain, installers and management to build the stack and overall solution. If you are a deep thinker and passionate about problem solving. If scalability, performance, downtime, high availability problems get you thrilled. If you are excited about leveraging AI to solve engineering and scale problems, then this is a great opportunity to build your career and create business impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• We are looking for a strong developer to help realize the above story. Ideal candidate will thrive amid ambiguity and enjoy building lasting systems in collaboration with others where success not only includes business value but having a cost-effective, reliable, state and scalable solution.
• Candidate must possess strong analytical, design and coding skills. In this role you will have the opportunity to design and develop software and services at scale, innovating on the latest technologies and following modern engineering practices.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight. Helps to identify other teams and technologies that will be leveraged, how they will interact, and when one's system may provide support to others. Contributes to determining back-end dependencies associated with product, application, service, or platform functionality for product features.
• Identifies areas to efforts to integrate instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms. Contributes to sustaining feedback loops from telemetry resulting in subsequent designs. Helps to create outputs of telemetry such as notifications or dashboards.
• Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests). Adds new tests, removes antiquated tests, and aggregates tests to improve tests in the feature area. Helps to drive efforts for augmenting test cases and ensures that the solution area has good test coverage. Helps to integrate automation features when planning for testing.
• Maintain close technical relationship with partner teams, provide technical leadership and drive for engineering excellence and results.

Qualifications

Required Qualifications:

• • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Strong understanding of Windows operating system internals.
• Proficiency in building cloud-native applications on Azure.
• Hands-on experience with OpenAI APIs or similar LLM-based platforms.
• Solid experience with SQL and NoSQL databases (e.g., Cosmos DB, PostgreSQL, MongoDB).

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 3+ years of experience in software development with C/C++ or equivalent
  Exposure to assembly, OS kernel, low-level trouble shooting and debugging.
• Experience with cloud platforms, Azure, Kusto, Python, AI tools is added advantage.
• Proven expertise in developing frameworks and solutions that scale across multiple teams and products.
• Excellent problem-solving skills and the ability to design and implement scalable, high-performance solutions.
• Demonstrated ability to collaborate across multiple teams and align technical efforts with organizational goals.
• Experience with AI agent frameworks (e.g., Semantic Kernel, LangChain).
• Functional knowledge of test-driven development and CI/CD pipelines.
• Excellent communication and cross-team collaboration skills.

Additional Details

W+DJOBS

WSDCFE

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 2+ years of industry experience in service development, successfully shipping services through multiple releases. These requirements include but are not limited to the following specialized security screenings: Experience creating AI-centric experiences, or familiarity with building AI orchestration systems Experience utilizing generative AI, conduct experiments, and evaluate AI effectiveness in product improvements. Experience building scalable applications and services with Azure or other scalable cloud platforms with robust performance, resiliency, telemetry, and security. BICJobs AgentFlowsJobs Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 2+ years of industry experience in service development, successfully shipping services through multiple releases. These requirements include but are not limited to the following specialized security screenings: Experience creating AI-centric experiences, or familiarity with building AI orchestration systems Experience utilizing generative AI, conduct experiments, and evaluate AI effectiveness in product improvements. Experience building scalable applications and services with Azure or other scalable cloud platforms with robust performance, resiliency, telemetry, and security. BICJobs AgentFlowsJobs Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation.

Overview

CoreAI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

As part of CoreAI, the ExP team is focused on furthering Microsoft’s industry-leading Experimentation platform to support the rapidly changing generative AI landscape and meet the demand for agile, trustworthy experimentation at scale. As an Applied Science manager within ExP you will lead our Experimentation science team, pushing platform innovation and working closely with teams across the company to grow their experimentation throughput and product learnings.

In this role, you will:

• Push the envelope on online experimentation methodology and agent evaluations, advancing the state-of-the-art by connecting product development needs, latest science techniques and platform opportunities

• Contribute to one of the highest-scale experimentation platforms on the planet

• Collaborate closely with backend engineers, data scientists, site reliability engineers (SREs), and product managers to gather requirements, iterate on features, and deliver seamless, end-to-end user experiences.

• Collaborate closely with designers, UI-experts, science leaders and engineers to ensure clear, actionable dashboards and visualizations that empower users to make trustworthy science-informed decisions.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Shapes and propels Microsoft’s industry-leading online experimentation platform, driving breakthrough advancements in product-development tooling and publishing impactful articles and research to establish intellectual property and attract and retain talent

• Serves as a technical visionary and thought leader, positioning the ExP Platform to streamline product learning through innovative, research-backed approaches to enable trustworthy, agile, and data-driven decision making on a global scale.

• Provides expert technical guidance and deep industry insight, advising cross-functional teams on the adoption of cutting-edge tools, technologies, and methodologies to ensure successful experimentation programs and uphold the highest standards of quality and scientific rigor.

• Ensures teams develop and apply advanced subject matter expertise across a diverse set of specialized tools and methods, driving measurable business outcomes and elevating the scope and impact of Microsoft’s experimentation initiatives.

• Leverages an extensive professional network and personal expertise to attract exceptional science and engineering talent to Microsoft, identify emerging technology opportunities, and build new areas of application through strategic recruitment and talent development.

Qualifications

Required:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience.

5+ years of people management experience.

Preferred:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field and 12+ years of related experience (e.g., statistics, predictive analytics, research), or Doctorate in Statistics, Econometrics, Computer Science, or a related field and 8+ years of related experience, or equivalent experience.

• 5+ years of experience presenting research or technical work at conferences or industry events as an invited speaker.
• 7+ years of experience designing, developing, and deploying products or systems across multiple stages of the product lifecycle, from ideation and experimentation through production deployment and iteration.
• Experience designing, building, and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance models, experimentation guardrails, and causal inference best practices.
• Experience leading product measurement strategy, including defining north‑star metrics, architecting end‑to‑end measurement frameworks, and influencing senior product and engineering leaders on interpreting ambiguous or noisy data at scale.
• Experience evaluating and benchmarking large language models and autonomous agents, spanning offline and online evaluation methodologies, safety and reliability measurement, and translating model‑ and agent‑quality signals into product‑level decisions.

Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities for Copilot on Windows. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving and proficiency in backend technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.

Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.

MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Design and development secure and performant Platform services that support Copilot experiences on Windows. 
Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services. 
Ship high-quality, well-tested, secure, and maintainable code. 
Overcome obstacles to deliver work quickly and iteratively to users 
Enjoy working in a fast-paced, design-driven, product development cycle. 
Embody our Culture and Values.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• OR equivalent experience.

Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S.

Do you have a passion and interest in partnering with the fastest growing strategic companies, being their technical advocate to ensure they’re receiving the highest-level experience available from Microsoft? Support for Mission Critical is looking for deep technical architects, aligned to strategic customers who are undergoing or anticipating hyper-growth. Target customers require deep technical capabilities: resiliency, workload expansion, market leadership through co-innovation, strengthened reliability and security through operational excellence. You’ll push customers to realize enhanced reliability, security, performance and capacity, correlating their requests or platform events into actionable recommendations, and emphasizing rapid response, customer advocacy, and deep technical engagement.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Actively listen and empathize with customers to anticipate their needs, advocate for them within Microsoft, and measure success by customer satisfaction and operational excellence.
• Act as a technical leader to drive vision for the team and customers, pilot new models and data usage, scale successful practices and design patterns across the organization, and mentor others to grow their technical capabilities.
• Employ a reliability-first mindset, focused on proactively testing features, simulating failures, integrating chaos engineering, observability, and similar driving perpetual innovation.
• Build and strengthen bridges across Microsoft working seamlessly across teams and cultures, partnering closely with Microsoft Engineering, to communicate complex concepts in clear, actionable terms, fostering an inclusive environment that values diverse perspectives, establishing trusted technical relationships both with customer senior decision-makers (CTOs, product owners) as well as Microsoft stakeholders.
• Define account strategies for target customer portfolios, focused on enterprise scale customers anticipating or going through hyper-growth, aligning business priorities with Customer Success Organization, Sales, and Engineering KPIs.
• Maintain a culture of curiosity, diving beyond typical root-cause analysis to understand decision making and history of circumstances to drive continuous improvement; correlate customer requests or platform events to actionable recommendations with clear accountability by the customer and/or Microsoft.
• Measure success via resiliency targets, adoption metrics, escalation prevention, customer satisfaction, impact avoidance, business outcomes and operational excellence (reliability, security, performance, capacity), highlighting outcome-based results that positively differentiate the value of the team.

Other

• Embody our culture and values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR equivalent experience.

Other Requirements

• Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

Preferred Qualifications:

• Deep SQL expertise: Proven experience with SQL Server in enterprise environments, including performance tuning, high availability and disaster recovery, migration, and complex production troubleshooting.
• Azure IaaS expertise: Strong hands on experience designing, deploying, securing, and operating Azure IaaS solutions, including virtual machines, networking, storage, and hybrid architectures at scale.
• Deep technical acumen: level-500 expertise in one Azure domain; broad familiarity with others.
• Proven ability to manage complex, highly available services and triage customer escalations
• Exceptional communication and relationship-building skills.
• Ability to meet Microsoft, customer and / or government security screening requirements are required for this role.  These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Cloud Solution Architecture IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate.

Microsoft Purview solutions is looking for a Senior Software Engineer to offer integrated coverage to address data fragmentation across organizations, improve visibility for data protection and governance, and address the merging of traditional IT management roles. Our team drives engineering efficiency by leading cost-optimization initiatives across our services—strategically migrating Azure resources and continuously improving resource utilization and performance.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

PurviewSecurityApplicationFramework

Responsibilities

• Lead the design and implementation of of robust workflows that streamline deployment and optimize the operations of Microsoft Purview solutions across specialized clouds.
• Mentor and guide engineers, providing technical direction, reviewing code, and ensuring best practices are followed.
• Collaborate with cross-functional teams including product management, security professionals, and data scientists to translate business requirements into technical solutions.
• Optimize platform performance to handle vast amounts of data across diverse digital systems while ensuring scalability, availability, and security.
• Drive end-to-end project delivery, ensuring timely and high-quality results.
• Work on cloud-native technologies and distributed systems to build a robust, resilient, and secure platform.
• Continuously improve the platform by leveraging new technologies and best practices in security, data governance, and cloud infrastructure.

Embody our culture and values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 9+ years of experience building software systems, with a focus on large-scale, distributed platforms.
• Programming skills in languages such as C#, Java, or C++.
• Experience guiding and mentoring engineers, driving their projects to completion.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Understanding of security principles and the challenges of securing large-scale systems.
• Experience working with high-scale, mission-critical SaaS products, including service operations.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We seek a Senior Researcher with the Data Systems Group at Microsoft Research with expertise in query execution, data storage, resource management for serverless cloud platforms, data discovery, and data preparation techniques. Candidates with experience in leveraging novel hardware, Artificial Intelligence (AI), and Machine Learning (ML) for data management challenges are of special interest to us. 

Our past research has been incorporated into Microsoft’s products and services such as SQL Server, Azure SQL Database, Power BI, Excel, and Dynamics 365. We have had influential publications at top conferences such as ACM SIGMOD, VLDB, and IEEE ICDE including several best paper awards and test-of-time awards. More details are available at  Data Systems Group at Microsoft Research 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Pursue high-ambition research on data systems in collaboration with other members of the research lab

• Build and deploy novel systems

• Contribute significant innovations to Microsoft’s products and services

• Publish papers on significant research results

• Embody our culture and values.

Qualifications

Required Qualifications: 

• Doctorate (or currently pursuing) in Computer Science, Computer Engineering, relevant field

• OR equivalent experience.

• A track record of research accomplishments, e.g., major conference publications (ACM SIGMOD, VLDB).

Preferred Qualifications: 

• Appetite for undertaking ambitious research challenges.

• Familiarity with traditional SQL or big data systems cloud platforms.

• Expertise in key components of data systems, e.g., distributed query execution, resource management for cloud platforms, low-code data transformations.

• In-depth knowledge of modern hardware.

• Experience with applying AI and Machine Learning techniques for challenges in data systems.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

PC gaming is evolving fast. Players expect seamless experiences across PC, handhelds, and beyond. They want games that just work, run beautifully, and take full advantage of their hardware.

The Windows Gaming team in SiGMA (Silicon, Gaming, Media & AI) has a unique opportunity for an experienced product manager to shape platform strategy, influence the gaming ecosystem, and work to ensure gamers continue to choose Windows as their go-to gaming platform. We’re the team behind DirectX, advanced display, graphics and media technologies, and the platform foundation that makes games shine on Windows for millions of players to enjoy.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Help define and influence the long-term vision and strategy for Windows gaming feature areas based on a deep understanding of customer needs, market and user research, the competitive landscape, and Microsoft’s business goals and strategy.
• Own and drive the end-to-end product roadmap, prioritizing experiences that result in faster, smoother, or more reliable gameplay across a broad range of PC devices and form factors, and that drive adoption, retention, and player delight.
• Work across multiple Microsoft organizations spanning OS platforms, developer and technology groups to deliver seamless, high-performing, player-first experiences.
• Author clear, concise PRDs, specifications, and decision documents that align cross-functional teams, accelerate execution, and enable informed tradeoffs.
• Define success metrics and measurement frameworks across player value and product performance, in partnership with analytics and data science teams.
• Represent Windows gaming externally - at conferences, in blog posts, and with key partners in the industry.

Qualifications

Required Qualifications:

• Bachelor's Degree AND 5+ years experience in product/service/program management or software development
• OR equivalent experience.
• Experience in the PC or gaming space, with a strong understanding of the business and technology dynamics driving gaming devices and platforms OR Experience with graphics or other technology areas that enable high performance realtime experiences, with a strong understanding of modern PC gaming architectures (OS, graphics runtimes, drivers, hardware, and game engines)
• Track record of navigating complex cross-team dependencies.
• Strong intuition for gaming user experience, especially ease of use and “it just works” expectations, with experience analyzing and closing gaps versus alternative platforms.
• Demonstrated excellence in written communication, with a proven history of delivering strategic executive briefings and authoring public content.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree or Master’s Degree in EE or Computer Science or closely related field
• 8+ years of experience in Product management, Program management, Software development,
• OR equivalent experience
• 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
• 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
• 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)

W+DJOBS

CoreOSJob

SIGMAjobs

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

OneDrive and SharePoint (ODSP) are rapidly growing services at the center of Microsoft's cloud, reaching almost every part of the company, like Windows and Office. The File Storage team within ODSP is responsible for ensuring the integrity, availability, and performance of all file data stored in OneDrive and SharePoint, managing billions of files and exabytes of storage at global scale. As an infrastructure team, we power every SharePoint feature that relies on file storage and retrieval, with a relentless focus on reliability, efficiency, and data durability. Our mission is to deliver a seamless and trustworthy experience for customers by building resilient systems that safeguard data and optimize performance across massive distributed environments.

As a Software Engineer II - OneDrive and SharePoint, you would be a part of a team that can fundamentally change the way that millions of people use their devices and interact with the most important content in their lives. You would work with a team of amazing engineers, product managers, and designers, and work closely with other teams across Microsoft to deliver large scale, distributed architectures, and features to meet OneDrive and SharePoint's core infrastructure needs.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design and deliver systems that enable partners and ISVs to migrate from other cloud providers.
• Improve core systems performance and efficiencies, and ensure zero customer impact throughout the change management cycle.
• Deliver systems to meet our business continuity planning goals, provide telemetry for optimizing the service and drive our response time for detecting and resolving service issues down.

Embody the Microsoft culture and values .

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Proven experience leading and managing projects involving multiple engineers.
• Experience with building cloud-scale infrastructure components.
• Experience designing cloud-scale services and server/service management features.
• Experience related to cloud scale distributed design and patterns.
• Familiar with secure software design concepts.
• Proven track record of delivering projects that include multiple components.
• Ability to work across and partner with multiple engineering teams to achieve business goals.

ODSPEng

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft Teams is the hub for modern collaboration—bringing together everything teams need to succeed, all within the Office 365 ecosystem. It serves as the canvas that unifies your content, tools, people, and conversations in one seamless experience. As one of Microsoft’s most dynamic and impactful products, Teams is redefining the future of teamwork—and we’re just getting started.

We're looking for a full stack Software Engineer II and Senior Software Engineer to join and help lead engineering efforts across the team to push the boundaries of what’s possible with Generative AI, Large Language Models (LLMs), and a world-class AI stack powering Teams Copilot and other cutting-edge AI experiences. You’ll be part of a team at the forefront of AI innovation, leveraging the latest in deep learning, natural language processing, and conversational AI to shape the future of work. We take pride in how we build. Our team runs lean, stays customer-obsessed, and makes decisions grounded in data. We embrace a live-site-first, metrics-driven culture that minimizes tech debt and maximizes impact. In this role, you’ll take end-to-end ownership, drive meaningful outcomes, and directly influence customer satisfaction and business growth. This is a unique opportunity to sharpen your system design skills and work with a modern tech stack closely collaborating across teams and organizations.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Apply cutting-edge techniques in deep learning, natural language processing, and conversational AI to enhance the intelligence and user experience of Microsoft Teams.

Prototype, experiment, and evaluate new ideas to deliver next-generation AI-powered Teams Meeting features that redefine how teams communicate.

Collaborate with key stakeholders to develop overall product vision as well as strategies on how to realize the vision by identifying technical challenges & proposing solutions.

Develop features that delight customers while upholding the highest standards of availability, reliability, performance, and scalability—never compromising on engineering fundamentals.

Influence and define new designs, architectures, standards, and reusable service libraries that empower teams across Microsoft to build at scale.

Design, develop and operate scalable and reliable services with great monitoring and telemetry support.

Adopt best practices, tools and processes for a data-driven, quality-focused release of Microsoft Teams as frequently as possible to our customers.

Drive technical excellence.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience building AI features and working with Large Language Models (LLMs).
• Experience with distributed computing frameworks (Kubernetes, Spark).
• Experience improving system performance, availability, and scalability.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are a global and diverse team of engineers, scientists, and domain experts who are working on expanding the technological frontier of health and life sciences through deep research. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations between all three. Our mission is to empower every person on the planet to live a healthier future.

We are looking for a Senior Researcher - Machine Learning for Life Sciences to help us advance the ways artificial intelligence can accelerate and advance discovery in biomedicine and the life sciences. This role is ideal for a candidate with intellectual curiosity who wants to craft a research agenda, articulate it clearly to team members with a diverse set of backgrounds, and execute it as a member of that research team. Successful applicants will bring deep expertise about AI and will be passionate about making new discoveries in health and the life sciences.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

#Research

Responsibilities

• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Application-specific benchmarking and interpretation: Invent and apply techniques for developing a deep understanding of the capabilities of deep learning models as they relate to specific biological data domains and life sciences research questions of interest.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.
• In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.

Qualifications

Required Qualifications

• Doctorate in relevant field
• OR Master's Degree in relevant field AND 3+ years related research experience
• OR Bachelor's Degree in relevant field AND 4+ years related research experience
• OR equivalent experience.

Preferred Qualifications

• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience working with biological data (e.g., genomics, transcriptomics, proteomics, microscopy), applying both advanced methods and standard bioinformatics tools. Proven track record in bioinformatic algorithm development, benchmarking, interpretation, and application.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft's mission is to empower every person and every organization on the planet to achieve more.  Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. Our full‑stack approach involves innovations from physics on the quantum plane to global quantum services and everything in between. The Microsoft Quantum program strives to fundamentally change the world of computing to help solve problems that are currently intractable for classical machines. We are entering a period of accelerated development, and we are seeking exceptional scientific leaders to help define what comes next. For more information about our team, visit  https://www.microsoft.com/en-us/quantum.

We are seeking a Principal Quantum Engineer - Systems Physics & Performance to drive foundational advances in how we characterize, understand, and optimize the behavior of complex quantum‑device systems. This role focuses on the physics of interacting qubits, emergent disorder phenomena, and the development of new diagnostic and mitigation strategies that enable robust operation at scale. The position offers the opportunity to influence the direction of the world’s first topological quantum computing effort, working closely with multidisciplinary teams in a deeply collaborative, research‑forward environment.

This role sits at the intersection of condensed‑matter physics, quantum device systems, and advanced materials characterization. The ideal candidate combines a deep understanding of fundamental physics with a passion for building new methodologies—spanning theory, experiment, and metrology—to unlock new levels of system performance.

Responsibilities

• Systems‑Level Physics & Quantum System Performance: Develop frameworks for diagnosing and optimizing multi‑component quantum systems, going beyond single‑device metrics to capture interactions, emergent error sources, and disorder effects.
• Design and analyze computational benchmarks with known clean‑limit solutions to extract, quantify, and mitigate effective local random fields and other correlated‑error phenomena that arise in real‑world problem instances.
• Translate insights from interacting‑qubit physics into practical corrective procedures and architectural recommendations for next‑generation topological quantum processors. Collaborate closely with theorists, device physicists, and materials scientists to bridge physical‑model predictions with experimentally accessible observables.
• Materials & Device Diagnostics: Provide guidance on the interpretation of advanced materials and device measurements, including morphology, chemistry, electronic states, and interfacial properties of multilayer quantum‑device stacks.
• Partner with internal and external teams to design measurement campaigns at large national and international metrology facilities, including x‑ray synchrotrons, and integrate results into device‑fabrication and hardware‑design feedback loops.
• Identify and champion novel characterization approaches that illuminate failure modes or performance bottlenecks in quantum‑device systems-while ensuring deep collaboration and alignment with existing internal metrology teams.
• Emerging Interfaces: Optics, THz, & Alternative Readout Pathways: Support exploratory, high‑impact research directions related to future‑generation readout and control schemes, such as, quantifying and reducing the fundamental time‑scales associated with topological‑device readout under realistic noise and error‑rate constraints, investigating architectures in which RF signals are distributed via optical carriers into the cryostat, including on‑chip demultiplexing strategies for scalable, high‑bandwidth readout infrastructure and collaborate with quantum‑electronics, photonics, and cryogenic‑engineering teams to evaluate practical and theoretical boundaries of these approaches.
• Other:
• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Doctorate in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment
• OR Master's Degree in Physics, Engineering, or related field AND 10+ years experience in industry or in a research and development environment
• OR Bachelor's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
• Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development.
• Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs).

Additional/Preferred Qualifications:

• Doctorate degree in Physics, Materials Science, Electrical Engineering, Applied Physics, or a related field AND 7+ years of post‑doctoral or equivalent research experience in quantum condensed‑matter physics, strongly correlated systems, quantum devices, mesoscopic physics, or related areas.
• OR equivalent experience.
• Demonstrated expertise in the physics of interacting quantum systems, disorder phenomena, or complex device behavior.
• Experience designing, interpreting, or leading advanced experimental diagnostics (e.g., x‑ray scattering, spectroscopy, nanoscale probes, time‑resolved techniques, or equivalent).
• Proven ability to drive scientific programs that integrate theory, experiment, and hardware development.
• Internationally recognized contributions in condensed‑matter physics, quantum materials, or quantum devices.
• Experience with system‑level performance modeling or physics‑based error‑analysis methodologies.
• Familiarity with superconducting, topological, or hybrid semiconductor‑superconductor quantum platforms.
• Knowledge of cryogenic measurement techniques and device‑fabrication workflows.
• Demonstrated ability to mentor teams and foster cross‑functional collaboration.
• Excellent communication, scientific‑writing, and external‑engagement skills.
• Ability to navigate a rapidly evolving research and engineering environment with flexibility and creativity.

Quantum #QuantumCareers #MDQCareers

Quantum Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

AI has created an unprecedented opportunity to make work better for hundreds of millions of people. Microsoft Teams is the hub for teamwork that integrates the people, content, and tools your team needs to be more engaged and effective. It is at the core of Microsoft’s modern work, life, and education value proposition. We are reinventing the way people communicate and work together across the globe. Our newly formed Applied Science organization is hiring a Principal Applied Scientist to help ensure we maximize this amazing opportunity.

We are looking for a Principal Applied Scientistwho is creative, self-driven, curious, people-oriented, and comfortable defining a path through ambiguity toward high-level goals. Research areas of interest include but are certainly not limited to reinforcement learning, agentic systems multimodal modeling, post-training techniques and their application, human-centered artificial intelligence (AI), domain-specific large language model (LLM) applications (e.g. long-form writing assistance), personalization, computational social science, memory, agentic retrieval-augmented generation (RAG), real-time AI systems, collaborative AI, privacy-preserving AI, trustworthy AI, data-centric AI, AI flywheels, and multilingual AI. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products.
• Shape product direction by integrating rigorous scientific methods into the product lifecycle.
• Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product.
• Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices.
• Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.
• Communicating with product leaders (and often Microsoft researchers – MSR) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.
• Embody the Microsoft culture and values .

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• Publications in scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, KDD, WWW, CHI, PNAS, Nature, EMNLP, CVPR, ICCV, ECCV, CoRL)

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.\
• 7+ years experience conducting research as part of a research program (in academic or industry settings).
• 5+ years experience developing and deploying live production systems, as part of a product team.
• 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Demonstrated impact from your research through shipped products, improved user experiences, or other measurable benefits for diverse stakeholders.
• Demonstrated interest for continuous learning and innovation in AI.
• Demonstrated technical leadership or mentor experience (influencing technical direction, guiding team members).

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Microsoft Superintelligence team is building Humanist Superintelligence - advanced AI designed to remain controllable, aligned, and firmly in service to humanity. As a lean, fast-moving research lab within Microsoft AI, we are focused on creating the safest, most capable AI systems that amplify human potential and deliver tangible impact to billions of users worldwide.

We're looking for a Technical Advisor to join Microsoft Superintelligence in the Office of the CEO of Microsoft AI. The right candidate combines deep technical expertise in machine learning and software engineering with the ability to provide strategic counsel on high-stakes decisions. This role requires someone who can dive deep into research problems—evaluating models, prototyping solutions, and analyzing technical tradeoffs—while also synthesizing insights for executive decision-making. You'll work across the full spectrum of our research efforts, from model development and infrastructure to safety and alignment.

The ideal candidate thrives in ambiguity, takes initiative, and can context-switch fluidly between hands-on technical work and strategic advisory. You should be comfortable working across a variety of projects as they surface ad-hoc and able to clearly communicate findings in exec-level written documents.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is based in Mountain View, CA or Redmond, WA. You are required to be local to one of these locations and in office 3 days a week.

Responsibilities

• Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio

• Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work

• Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions

• Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership

• Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work

• Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives

• Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities

Qualifications

Required Qualifications:

• Bachelor's degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience.

Preferred Qualifications:

• 8+ years of experience in software engineering, machine learning, or AI research.

• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field.

• Software engineering skills with the ability to rapidly prototype and evaluate technical solutions.

• Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas.

• Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences.

• Track record of operating effectively in fast-paced, ambiguous environments.

• Ability to context-switch across diverse technical domains.

• Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)

• Experience at a leading AI research lab or startup.

• Experience with model training, infrastructure, or AI safety research.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Do you thrive on solving complex problems, uncovering insights, and shaping innovative solutions that make a real impact? Are you excited by the challenge of turning data into actionable strategies for some of the world’s most influential organizations? At Microsoft, we believe in empowering every person and every organization on the planet to achieve more.

Our team embraces a growth mindset, values authenticity, and encourages diverse perspectives. We combine technical excellence with creativity to deliver life-changing innovations that impact billions globally. If you’re passionate about machine learning, AI, and driving business transformation through data, this is your opportunity to lead and inspire.

As a Principal Data Scientist, you will own end-to-end delivery of strategic data science projects and partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This role blends deep, hands on technical knowledge with consulting and stakeholder engagement, enabling you to influence decisions and guide adoption of data-driven strategies.

At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

• Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with business stakeholders
• Lead the design and development of Data Science and broader AI solutions of a team of data scientists and engineers.
• Engage with business stakeholders to bring them along with business performance improvement with data and AI
• Apprentice and generate the next generation of data scientists and actively participate and lead their mentoring
• Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
• Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
• Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
• Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
• Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value.
• Uphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the process.
• Focus on customer needs and perspectives to promote adoption and build trust.
• Develop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of Microsoft products.
• Maintain transparency about data limitations to set realistic expectations and ensure accountability.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other cross functional team members.
• As a demonstrated industry thought leader in data science, you will build an in-depth understanding of industry problems domain and apply both technical and domain knowledge to drive novel customer experiences. You’ll also write extensible code that solves complex business problems spanning the entire software development lifecycle.
• You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs and offer pragmatic customer solutions that align with their data capabilities.
• You will embody our culture and values.

Qualifications

Required/minimum qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.

Other Qualifications:

Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.

Additional or preferred qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

• 3 to 5 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience.

• Experience developing and deploying Agentic AI solutions

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions.

The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

We are looking for a Sr. Software Engineer to join our Endpoint Security Team to develop and maintain security services to ensure that our endpoints are protected in the right way. Our solutions are focused on enabling and detecting software vulnerabilities using telemetry from multiple sources and identifying opportunities to minimize or prevent security risks.

The candidate will be building solutions to enhance our Device Health policies at enterprise scale. Successful candidates will have in-depth technical experience with Software Vulnerabilities and vulnerability scanning solutions. They should be able to combine their technical skills with enthusiasm, ingenuity, results-orientation, and ability in working with the rest of the team. A proficient candidate will have experience in a team environment, experience running enterprise scale services and platforms, technical depth in cloud platforms, agile development practices, and experience in designing & tuning telemetry.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Job Responsibilities

• Lead technical design and architecture discussions for core Endpoint Security services
• Collaborate with Microsoft Product Groups to define and prioritize project backlogs
• Responsible for all stages of the Software Development Lifecycle. Software Development: Design, develop, deploy, and maintain distributed systems software components, ensuring high availability, scalability, and performance
• Write high-quality, maintainable code, and review contributions from engineers
• Adhere to modern engineering practices, enacting change to services through software engineering, unit testing, debugging, refactoring, code reviews and maintaining build/deployment pipelines.
• Identify opportunities and drive the implementation of automation to improve service health, manageability, reliability, and telemetry.
• Own, triage, investigate and resolve service issues with an emphasis on broad communication, learning &amp, teaching throughout the process.
• Author functional and technical documentation. Communicate on a deep technical level with product engineering, project management and operations teams to improve. and optimize products, improve infrastructure, and evolve services.
• Translate business requirements into technical specifications and help manage priorities, deliverables, and timelines.
• Embody our culture and values

Qualifications

Required Qualifications

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

#MSSecurity and #CISOOrganization

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is seeking an experienced HPC Operations Engineering Managerto join our Infrastructure Team. In this role, you’ll lead a team of Site Reliability Engineers who blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Microsoft Superintelligence Team

Microsoft Superintelligence Team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence — ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.

Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society — advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in — come and join us as we work on our next generation of models!

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. 

Responsibilities

• Team leadership: Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of AI model training and inference systems.
• Observability: Design and help maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
• Automation & Tooling: Lead building of automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with Site Reliability Engineering, DevOps, or Infrastructure Engineering Leadership roles AND 8+ years experience with Kubernetes, Docker, and container orchestration, AND 8+ years experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code, AND 6+ years experience with programming/scripting skills not limited to Python, Go, or Bash
• OR equivalent experience

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience AND 10+ years experience with Kubernetes, Docker, and container orchestration, AND 10+ years' experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code

• OR equivalent experience.

• 6+ years people management experience.

• Experience in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.)
• Experience running large-scale GPU clusters for ML/AI workloads
• Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators).
• Knowledge of CI/CD pipelines for Inference and ML model deployment
• Solid knowledge of distributed systems, networking, and storage
• Familiarity with ML training/inference pipelines.
• Background in capacity planning & cost optimization for GPU-heavy environments

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft AI is looking for experienced Member of Technical Staff, High Performance Computing Engineers to help build and scale the infrastructure that trains our frontier models and powers the next evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world - a rare chance to operate at such a significant scale.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.

Responsibilities

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
• Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.
• Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.
• Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.
• Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.
• Enjoy working in a fast-paced, design-driven product development environment, balancing stability with rapid iteration and experimentation.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,
• OR equivalent experience?

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,

• OR equivalent experience.

• Experience with LLM training clusters
• Experience working with AI platforms, frameworks, and APIs
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Experience working with large-scale HPC or GPU systems (ex. NVIDIA H100/GB200 or equivalent).
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Microsoft Security Organization is building the next generation of security solutions by rethinking how security work is done from the ground up. The AI for Security (AI4S) Team within the Microsoft Threat Protection (MTP) Org is pioneering a new paradigm: leveraging frontier AI models, security specific tooling, knowledge graphs, and deep context engineering to transform how defenders detect, investigate, and respond to threats at global scale.

This is a fast-paced, highly interdisciplinary environment focused on real world security outcomes. We are looking for Software Engineer II + Senior Software Engineer - Applied AI for Microsoft Threat Protection (MTP) to help us in our goal to build intelligent security systems that meaningfully reduce defender toil, improve precision and speed, and unlock entirely new security workflows that were previously impossible.

The Challenge

Security today spans an enormous range of jobs from threat detection and triage to incident response, hunting, secure design, compliance, and platform hardening. Existing tools only partially address this space and often place the cognitive burden on humans.

AI for Security is changing that by:

• Applying frontier models purpose built for security workloads

• Building rich security knowledge graphs and context systems

• Combining structured and unstructured signals across Microsoft’s security platforms

• Designing AI native experiences that integrate reasoning, action, and feedback

This role directly contributes to creating worldclass AI powered security solutions used by millions of customers and defenders worldwide.

Responsibilities

• Design and build AI‑first security systems that leverage large language models, multimodal models, and emerging frontier capabilities to solve complex security problems
• Develop context and knowledge systems, including security knowledge graphs, semantic representations, and memory frameworks that enable high‑quality reasoning over security data
• Collaborate deeply across disciplines, working with:
• Security Engineers and Domain Experts
• Product Managers defining new AI‑native security experiences
• AI Infrastructure and Platform teams
• AI Research and Model Engineering Groups
• Translate security workflows into AI‑optimized architectures, identifying where automation, augmentation, and autonomy create step‑function improvements
• Prototype rapidly and iterate in a live production environment while maintaining Microsoft’s standards for security, reliability, and trust
• Shape the long‑term technical direction of AI for Security, influencing architecture, tooling, and best practices across MTP (Microsoft Threat Protection) Org

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, Python, C#, Go, or Java
• OR equivalent experience

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Additional or Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years of experience designing, building and operating scalable ML systems, including ML infrastructure and pipelines (Azure ML, Kubernetes), model versioning, observability, and secure deployment, with hands‑on experience in MLOps/AIOps/SecDevOps practices.
• 3+ years of experience building secure, reliable software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices.
• 3+ years of experience designing, building, and operating distributed or cloud‑scale systems (Azure, AWS, or GCP), including production ownership, CI/CD integration, and operating highly available services.
• 2+ years of experience designing and building applications with LLM orchestration frameworks (e.g., LangChain, AutoGen), including agent‑based workflows, RAG pipelines, prompt engineering, and model fine‑tuning/evaluation.

MicrosoftThreatProtection  #MSFTSecurity  #MTPAI

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are looking for a high-energy candidate to fill the role of Deputy Program Executive on a long-standing 15+ years contract with the City of New York.

The Sr. Principal Project Manager must be PMI-certified with 10+ years experience working as a Senior Program Manager. The role is both demanding and fast-paced, and requires extensive experience (12+ years) applying the PMI discipline – development of project plans, resource allocation, documentation development, tracking and reporting of progress, risks, issues and actions, as well the ability to properly manage an accurate forecast. 

The candidate must have significant experience dealing with C-level clients - not only providing progress reports on a weekly basis, but also negotiating with C-level clients in terms of defining requirements for scope, time and budget for each newly approved project. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Account Delivery Management

• Structured thinker with extensive experience applying PMI-based disciplined approaches to program governance and delivery quality.
• Manages the direction of solution deliveries and influences others to secure resources to deliver on customer contracts. Ensures delivery for customers across the delivery lifecycle including envisioning, solution development, delivery planning, cloud consumption and usage, delivery management. Leads or participates in steering committee meetings with strategic customers to discuss progress toward delivery success.
• Contributes to consumption activities and the setting of strategic direction for consumption based on identification of broad patterns of consumption gaps, and drives consumption for complex customers (e.g., tier 1) by identifying blockers to consumption goals and enabling customers, through internal teams, to get the full value of their purchases. Holds accountability for project delivery forecast.
• Collaborates with Sales to support contract setup, signature, compliance, and execution from deal approvals to invoicing and closure. Manages areas of fiscal responsibility within project portfolio, staying within budget while driving engagement profitability and risk management.
• Supports strategic relationships with key stakeholders in the customer portfolio, often as part of a steering committee, to ensure service delivery is on track and major issues are being anticipated, identified, and managed. Supports new customer opportunities in partnership with Sales with highly significant or global impacts for Microsoft. Communicates current view of delivery to customer executives on regular cadence, as appropriate.

Intellectual Property (IP)

• Leads others in the use of intellectual property (IP) by providing recommendations for improvement including submitting new IP, contributing to complex IP, and driving standardization across IP ( e.g., statements of work [SOWs], work breakdown structures [WBS] by enforcing use of processes and artifacts with team members. Structures projects considering IP reuse from the beginning.

Relationship Development

• Engages senior internal and external stakeholders (e.g., Chief Executive-level executives) as a peer with deep subject matter expertise. Prevents and manages complex escalations through strategic and targeted communications with Chief Executive-level executives and delivers difficult messages as needed. Leverages brokering skills to assist other project managers in strategic communications. Collaborates with internal teams to manage overall customer relationships and plan mitigation strategies as needed.
• Drives customer satisfaction by representing Microsoft to senior customer stakeholders (e.g., Chief Executive-level, analyzing customer feedback, and leveraging trusted relationships with senior and executive leaders to act as the voice of the customer and ensure resolution of challenged deliveries. Manages expectations with a high level of political sensitivity by anticipating customer reactions, interpreting small signals, and taking proactive steps accordingly. Oversees the creation of Success Expectations and customer and partner experience (CPE).
• Adheres to project compliance standards (e.g., confidentiality, privacy) and requirements of the contract and accommodates customer compliance standards, including managing compliance-related complexities (e.g., high sensitivity to confidentiality). Champions compliance by driving knowledge sharing across geographies to build compliance capability of others.

Initiation

• Drives project initiation for projects of extremely high complexity (e.g., high profile, visible worldwide impact, extremely high impact, market making) by driving commitment of delivery resources, assigning resources across workstreams, and empowering and supporting program managers to create complex work breakdown structures (WBSs) leading to detailed project plans encompassing end-to-end view of the project (internal and external dependencies, vendor management, adherence to standards, doc creation, day 2 support run books, etc).
• Balances needs across projects in challenging situations (e.g., scarce technical resources) and collaborates with other groups (e.g., Independent Software Vendors, Global Delivery Center) on integrated planning and organization of onshore/offshore projects.

Contracting

• Oversees process for customer and partner resources (e.g., contractors, vendors) by providing input in partner briefings, partner candidate interviews, and identification and acclimation of partner resources to the team. Oversees negotiation and structuring of fixed-fee subcontractor contracts. Oversees customer contract Amendments, Delivery Acceptance, Proof of Delivery, and Invoicing.

Presales

• Leads pre-sales process for extremely high-impact projects by articulating the business value proposition associated with the project/change, evaluating associated complexities and risks to ensure feasibility of commercial offer, and reviewing work of peers for quality. Participates in review of proposed scope and assists in developing Statement of Work (SOW), Work Breakdown Structures (WBSs), estimates, preliminary risk assessments, etc.

Planning

• Oversees and provides input into the development of detailed project management plan to drive predictable delivery for the largest, most complex, and critical projects, leveraging deep expertise and experience and to drive scope, resources, and Microsoft project schedule in alignment and collaboration with customer plan. Drives overall strategy for project delivery and trains Microsoft and customer teams to proactively manage change as needed. Ensures use of baselining, resource load balancing, and application of work effort, dependency management, contingency planning, and utilization of software (e.g., Timeline).
• Establishes clear expectations and accountabilities (e.g., reconfirm scope, Responsible-Accountable-Consulted-Informed matrix) with all project team members (e.g., consultants) and stakeholders, as well as other Consulting Project Managers, for teams of high complexity by leading internal and external kick-off meetings (e.g., sales to delivery handoff, formal kick-off meetings) and may act as a lead project manager. Proactively engages broad set of internal and external stakeholders, including those who are impacted by project scope/outcome, but not directly involved (e.g., Enterprise Operating Unit, India Global Delivery, customer stakeholders) and engages subject matter experts in holistic planning activities, including team validation.

Monitoring and Controlling

• Orchestrates and oversees a broad range of project metrics on the largest, most complex projects with extremely high visibility (e.g., Vice President-level, global impact) through others. Proactively ensures adherence to key performance indicators (KPIs) and provides strategic direction to drive success and adapts to high-impact changes throughout project lifecycle.
• Oversees and proactively manages risks and issues within and projects of extremely high complexity, leveraging previous experience and subject matter expertise to evaluate trends in risks and optimize mitigation strategies across projects for high-impact risk scenarios using qualitative analyses (e.g., probability, impact, urgency) mitigation plan for high impact/probability risks. Leads critical recoveries and engages in resolving escalations across other critical projects and ensures tools are updated. Manages issue closure as a high priority and utilizes contingency planning to proactively respond when risks become issues.
• Ensures timely completion and quality of deliverables (e.g., documents) and tracking of agreed upon metrics across the largest, most complex, and critical projects by applying quality management techniques for collecting data (e.g., benchmarking, interviews), monitoring output and implementing corrective action while proactively ensuring time and resources needed to mitigate quality risks. Manages success expectations to create required deliverables. Contributes across projects to provide peer guidance where needed.
• Discusses and confirms customer change control at kickoff, anticipates changes and proactively addresses by probing to ensure change can happen smoothly early in the process. Tests process before initiating formal change.
• Manages finances for high-impact projects with large, complex scopes and budgets by balancing funding and resources across workstreams, performing deep analyses, and leveraging success expectations experience and expertise. Proact

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The CoreAI organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation. We are the team building the global Azure AI infrastructure for running the largest AI workloads on the planet.

We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Within CoreAI, the Azure AI Knowledge team powers rich search experiences for apps of all kinds, also serving as a knowledge service for LLMs. Integrates the best of Microsoft AI for content understanding, search relevance and more.The rapid evolution of generative Artificial Intelligence (AI) has sparked a revolution in the need for advanced retrieval systems. These systems are the backbone of Copilot-style applications, seamlessly blending large language models with external data to drive unparalleled user experiences.

Within Azure, our team stands at the vanguard, pioneering the development of cutting-edge retrieval systems through Azure AI Search. We are on the lookout for an experienced Principal Software Engineer - CoreAI to join us in this exciting journey. This role presents a rare opportunity to lead the charge in developing pivotal features for an Azure service situated at the epicenter of the AI innovation wave.

Operating at the dynamic intersection of AI, Information Retrieval, and Cloud Services, our team thrives on pushing the boundaries of what's possible. This is more than just a job; it's an invitation to shape the future of AI-driven applications and cloud infrastructure.

By joining us at this pivotal moment, you'll play a pivotal role in driving the next wave of accelerated growth for our business. Embrace the opportunity to innovate within our core cloud service infrastructure, and together, let's chart the course for the future of AI-powered retrieval.

Responsibilities

• Lead architecture design, testing, and security compliance for products.
• Create design documents, oversee team efforts, and ensure test coverage, automation, and quality assurance.
• Address system dependencies and enable cross-team collaboration.
• Collaborate with stakeholders to identify user requirements, incorporate continuous feedback, and define critical metrics for product improvement and customer value.
• Mentor others in producing high-quality, maintainable code.
• Optimize, debug, and establish best practices.
• Conduct code reviews to ensure adherence to standards and resolve issues proactively using telemetry and diagnostics.
• Drive project planning, experimentation, and solution deployment.
• Optimize implementations to meet business objectives and ensure safe deployments while considering broader system impacts.
• Manage live service operations, resolve complex incidents, and create playbooks for issue resolution.
• Implement telemetry and data analytics to monitor and improve system performance, reliability, and scalability.
• Promote the use of developer tools and automation to enhance production and deployment processes.
• Maintain compliance with security, privacy, and accessibility standards.
• Stay updated on industry trends and regulations while fostering collaboration across teams to meet customer and partner needs.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• 10+ years of experience in programming languages such as C#, C++, Java, or Python.
• 5+ years building large distributed systems in a cloud environment.
• Prior experience dealing with search engine (Elasticsearch, Opensearch).
• Passionate about improving operational tools and operational footprint of services.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The AI for Good Lab is hiring a Principal Applied Data Scientist to join our team in Redmond to design, build, and deliver AI-driven solutions to address complex, interconnected societal challenges.

Our Lab spans a broad and evolving portfolio, from understanding how AI is diffusing across the world and its economic opportunities, to powering disaster response and resilience, as well as advancing sustainability and cybersecurity. These challenges are inherently ambiguous and interdisciplinary, demanding creativity, strong research instincts, and the ability to move decisively from uncertainty to insight and action. We are an agile, fast-moving applied research team that uses modern AI as a force multiplier, accelerating discovery, sharpening insight, and driving decisions that matter. We continuously pivot toward where our work can create the greatest impact now.

In this role, you will use AI and data science to research and build solutions that inform and drive real-world decisions, working in close partnership with other data scientists, researchers, and research organizations, as well as policymakers and practitioners

You will provide senior technical leadership for applied AI and data science initiatives, defining technical direction for advanced AI systems across humanitarian response, biodiversity, sustainability, public policy, and global development with deep application of data science, cloud platforms, and economics. As a trusted advisor, you will partner with leaders across Microsoft, academia, nonprofits, and government to guide responsible, evidence-based AI solutions to turn insights into impact.

You bring a strong appetite for learning new domains and technologies, paired with agile decision-making, flexibility in how you work, and a growth mindset. You contribute to a positive, inclusive team culture through clear documentation, ethical research practices, and active knowledge sharing as you navigate complex, evolving challenges.

Our mission is to empower every person and every organization on the planet to achieve more.

Responsibilities

• Lead and develop applied AI solutions (LLMs, Agents, Computer Vision) and data science solutions by identifying and gathering data, shaping problem formulations, applying AI, machine learning, and statistical methods, and generating insight with real-world impact.

• Use AI creatively as a research and solution-building tool, combining quantitative methods, experimentation, and domain knowledge to surface patterns, test ideas, and inform decisions.

• Rapidly prototype and validate approaches using modeling, statistics and experimentation; select methods under real-world constraints (cost/latency, safety, privacy, maintainability).

• Design and build reliable, maintainable, end-to-end systems spanning data pipelines, model lifecycle, evaluation/telemetry, deployment, and operations.

• Advance the AI for Good Lab research agenda by authoring technical papers and presentation, published both internally and externally .

• Work in close partnership with other researchers and research organizations, as well as policy, industry, and nonprofit stakeholders, to co-create solutions

• Present findings with clear and compelling narratives, using impactful visualizations and storytelling to articulate insights that drive understanding and action.

• Lead through influence by shaping technical direction and standards (model evaluation, responsible AI, safety/privacy, and monitoring), aligning collaborators, navigating tradeoffs, and sustaining momentum across teams and institutions.

Qualifications

Minimum/Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications:

• Deep foundation in AI, machine learning, statistics, or related quantitative methods applied to real-world problems.

• Experience working end-to-end with data-from sourcing and exploration through modeling, interpretation, and communication.

• Proficiency in at least one scientific programming language (Python, R or equivalent languages) and experience with SQL or similar query languages

• Excellent written and verbal communication skills, with demonstrated experience communicating complex ideas clearly and persuasively to non-technical audiences.

• Proven ability to influence outcomes and lead work in cross-functional, matrixed environments.

• Experience collaborating with academic institutions, NGOs, humanitarian organization, or public sector partners.

• Background or demonstrated interest in domains such as economics, sustainability, humanitarian response, cybersecurity, public policy, or social impact.

• Growth mindset to learn new areas and ability to adopt quickly to dynamic business conditions.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Join the team that keeps Microsoft 365 running in sovereign cloud environments where reliability, scalability, and security are non-negotiable. You'll work on distributed systems at massive scale, automating operations, building disaster recovery capabilities, and engineering solutions that eliminate toil and improve service delivery. Bring your expertise in large-scale systems and help us set the standard for sovereign cloud reliability.

The M365 Sovereign Clouds organization is building the future of secure productivity for the world's most critical customers. As part of Azure Silver and Microsoft Sovereign Clouds, we deliver and operate the full Microsoft 365 suite, including Office 365, Exchange, Outlook, Teams, SharePoint, OneDrive, and Purview within highly regulated sovereign cloud environments. We are a team of innovators and problem-solvers who thrive on transforming complex challenges into reliable, high-performance services that empower sovereign cloud customers. Our culture is rooted in growth mindset, innovation, collaboration, and inclusion, and we believe that diverse perspectives drive our best work.

On the Security & Compliance team, you'll work with other engineers on the systems that protect M365 sovereign cloud customers from phishing, malware, spam, and data governance challenges. These systems process and protect millions of messages and documents daily. Our sub-teams offer exciting opportunities to work on highly complex systems that enable information protection and data governance for our customers.

The right candidate for this job (is):

• Passionate about distributed systems and working with highly scalable services.
• Enjoys new technological challenges and is motivated to solve them.
• Excited about making better software and continuously improving the development, integration, and deployment processes.
• Self-starter who thrives in a bottoms-up, fast-paced, highly technical environment.
• Effective collaborator, experienced in creating technical partnerships across teams.
• Committed to ensuring exceptional customer satisfaction through technical excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Communicates details and resolutions through post-mortem reports and review meetings.

• Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.
• Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations. Monitors the impact of changes on operations metrics (e.g., Time-to-X).
• Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. Proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams.
• Independently creates, tests, and deploys changes through a safe deployment process (SDP) to enhance code quality and improve the observability, security, reliability and operability of one or more platforms, systems, or products operating at scale.
• Shares insights and best practices via documented artifacts that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams.
• Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products.

Qualifications

Required Qualifications:
• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
o OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
o OR equivalent experience.
• 2+ years technical experience working with large-scale cloud or distributed systems.

Other Requirements

Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Candidates must have an active TS/SCI and be willing and eligible to upgrade to TS/SCI (with polygraph). This role will require candidates to maintain the TS/SCI (with polygraph) clearance. Ability to meet Microsoft, customer and/or government security screening requirements are required pre-offer and post-hire for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination.
• Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Site Reliability Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Join the team that keeps Microsoft 365 running in sovereign cloud environments where reliability, scalability, and security are non-negotiable. You'll work on distributed systems at massive scale, automating operations, building disaster recovery capabilities, and engineering solutions that eliminate toil and improve service delivery. Bring your expertise in large-scale systems and help us set the standard for sovereign cloud reliability.

The M365 Sovereign Clouds organization is building the future of secure productivity for the world's most critical customers. As part of Azure Silver and Microsoft Sovereign Clouds, we deliver and operate the full Microsoft 365 suite, including Office 365, Exchange, Outlook, Teams, SharePoint, OneDrive, and Purview within highly regulated sovereign cloud environments. We are a team of innovators and problem-solvers who thrive on transforming complex challenges into reliable, high-performance services that empower sovereign cloud customers. Our culture is rooted in growth mindset, innovation, collaboration, and inclusion, and we believe that diverse perspectives drive our best work.

On the Security & Compliance team, you'll work with other engineers on the systems that protect M365 sovereign cloud customers from phishing, malware, spam, and data governance challenges. These systems process and protect millions of messages and documents daily. Our sub-teams offer exciting opportunities to work on highly complex systems that enable information protection and data governance for our customers.

The right candidate for this job (is):

-Passionate about distributed systems and working with highly scalable services.
-Enjoys new technological challenges and is motivated to solve them.  
-Excited about making better software and continuously improving the development, integration, and deployment processes.  
-Self-starter who thrives in a bottoms-up, fast-paced, highly technical environment.  
-Effective collaborator, experienced in creating technical partnerships across teams.
-Committed to ensuring exceptional customer satisfaction through technical excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Responds to incidents during regular on-call rotations by identifying the level of impact, troubleshooting issues, taking appropriate action to mitigate impact, and deploying appropriate fixes to resolve root cause(s). Notifies product teams and owners to major customer impacting issues and escalates resolution of highly impactful issues affecting multiple components or features to other engineers or engineering teams as needed. Communicates details and resolutions through post-mortem reports and review meetings.

• Independently writes code or scripts that automate the performance of scalable operations processes (e.g., monitoring, alerting, deploying products and updates) across components and features of products operating at scale.
• Designs, develops, and maintains telemetry pipelines and monitoring tools that detail operations metrics (e.g., availability, reliability, performance, efficiency) of product components and features operating at scale. Independently performs analyses using existing tools and/or models to identify insights and shares them with product engineering teams to directly contribute to improvements in product development and/or operations. Monitors the impact of changes on operations metrics (e.g., Time-to-X).
• Independently uses existing tools and/or models to troubleshoot problems or flaws affecting the availability, security, reliability, performance, and/or efficiency of components and features, leveraging the artificial intelligence (AI) and machine learning (ML) capabilities. Proposes solutions that will resolve and prevent recurring issues and brings them to the attention of their Site Reliability Engineering (SRE) and/or product engineering teams.
• Independently creates, tests, and deploys changes through a safe deployment process (SDP) to enhance code quality and improve the observability, security, reliability and operability of one or more platforms, systems, or products operating at scale.
• Shares insights and best practices via documented artifacts that can be applied to improve development and operations of system, platform, or product components and features by participating in code/design reviews, incident drills and debriefs, and regular meetings, as well as interactions with more experienced SREs and members of product engineering teams.
• Engages with product engineering teams by participating code/design reviews, regular meetings, on-call rotations and incident responses throughout product development and operations cycles. Utilizes technical knowledge of systems/platforms and insights drawn from product engineering teams, security best practices, artificial intelligence (AI)/machine learning (ML), and telemetry analyses to suggest potential improvements in code base and designs across components and features of one or more products.

Qualifications

Required Qualifications:
• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
o OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Pythono OR equivalent experience.
• 2+ years technical experience working with large-scale cloud or distributed systems.

Other Requirements

Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Candidates must have an active TS/SCI and be willing and eligible to upgrade to TS/SCI (with polygraph). This role will require candidates to maintain the TS/SCI (with polygraph) clearance. Ability to meet Microsoft, customer and/or government security screening requirements are required pre-offer and post-hire for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination.
• Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Site Reliability Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

About the Role

• We’re building AI‑first engineering systems that power growth at Microsoft — designing, shipping, and scaling code that directly shapes how millions of developers experience and adopt AI.

• As a Growth Engineer in CoreAI, you’ll sit at the intersection of product, engineering, and data, driving experimentation, learning velocity, and real business impact across world‑class developer and AI products.

• This role is about shipping fast, learning faster, and scaling what works — all while upholding Microsoft’s commitment to responsible, inclusive, and trustworthy AI.

About CoreAI

• CoreAI – Platform and Tools is Microsoft’s AI‑first engineering organization, created to build the end‑to‑end Copilot & AI stack powering products like GitHub Copilot and Visual Studio Code.

• Our mission is to empower every developer to shape the future with AI, accelerating how AI applications are built, deployed, and improved at global scale.

Why This Role Is Exciting

• This is not growth at the edges — this is growth at the core.

• Build AI‑powered growth loops on world‑class products like VS Code and GitHub

• Operate inside a high‑velocity, AI‑first engineering organization where learning speed matters

• Influence how hundreds of millions of users discover, adopt, and succeed with AI

• Drive real business impact — measured, shipped, and scaled

• Help define what responsible growth looks like in the AI organisation

Our Culture & Values

• At Microsoft, how we build matters as much as what we build.

• We are guided by our mission to empower every person and every organization on the planet to achieve more, and we show up every day with:

• A growth mindset

• Respect, integrity, and accountability

• A commitment to inclusive, responsible AI that earns trust and benefits everyone

• We believe diverse perspectives make our products — and our teams — stronger.

Impact You’ll Have

• Raise the bar for experimentation quality across CoreAI

• Help define AI growth best practices for Microsoft

• Turn learning into leverage — faster adoption, better experiences, measurable results

Responsibilities

What You’ll Do

• Own growth through engineering excellence and experimentation

• Design, ship, and iterate on growth experiments across acquisition, activation, engagement, and retention

• Build and evolve A/B testing frameworks, metrics, and tooling that raise experimentation quality and confidence

• Partner closely with Product, Data Science, Design, and Research to turn hypotheses into shipped learnings

• Use data and telemetry to guide decisions — from experiment design to rollout strategy

• Scale successful growth patterns across high‑traffic, global AI products

• Balance speed and rigor in a fast‑paced, AI‑first engineering environment

What We're Looking For

• Software engineering fundamentals with experience building, shipping, and operating production services or client applications

• Proficiency in designing scalable, reliable systems that support rapid iteration and experimentation

• Experience writing high‑quality, maintainable code and owning services end‑to‑end in a live environment

• Ability to reason about performance, reliability, and correctness in high‑traffic systems

• Experience supporting or driving experimentation (A/B testing) in production environments

• Understanding of experimentation quality, including guardrails, metrics selection, and rollout strategies

• Engineering mindset grounded in hypothesis‑driven development and learning through iteration

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• 2+ years shipping A/B tests end‑to‑end in production (design → instrumentation → analysis → rollout), including improving experiment quality and guardrails

• 4+ years building and shipping high‑availability features for multi‑region, globally distributed systems (resiliency, failover, capacity planning)

• Demonstrated experience leaning heavily on AI to accelerate engineering velocity, including using AI tools to prototype, implement, debug, and iterate on production features

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Foundry Inference & Training team is responsible for advancing Microsoft’s most critical model training capabilities, infrastructure, and execution at global scale. We are looking for a principal Technical Program Manager to partner closely with leadership to drive execution excellence, operating rigor, and cross-team alignment across a fast-moving and highly interconnected space.

This role sits at the intersection of strategy, execution, and technical depth. You will help turn priorities into outcomes, ensure internal signals are clear and actionable, and enable leaders and teams to operate with focus and velocity.

Responsibilities

Qualifications

Required Qualifications

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Bachelor’s Degree AND 10+ years experience in program/technical program management, data analysis, or product development OR equivalent experience.
• 3+ years of hands-on experience with Azure (or similar cloud) services, including resource provisioning, IAM, networking, and scripting (PowerShell or Azure CLI).
• 6+ years experience managing cross-functional and/or cross-team projects.
• 10+ years experience managing cross-functional and/or cross-team projects.
• Technical fluency with experience working alongside engineering, research, or infrastructure teams.
• Proven track record of leading large, ambiguous, cross-functional programs with senior stakeholders.
• Demonstrated written and verbal communication skills, with the ability to clearly influence at the executive level.
• Comfort operating as a force multiplier in highly dynamic environments.
• Track record of leading cross-functional efforts at scale in high-stakes, fast-paced environments.
• Proven experience in product management for large-scale data or AI platforms.
• Technical background in data lifecycle management, security, and compliance.
• Demonstrated ability to lead cross-functional teams and drive strategic initiatives.
• Experience with cloud data platforms (Azure, AWS, GCP).
• Entrepreneurial mindset; thrives in fast-paced, ambiguous environments.
• Experience with automation, data pipelines, and human-in-the-loop systems.

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft's mission is to empower every person and every organization on the planet to achieve more. At Microsoft Quantum, we aim to empower science and scientists to solve the world's biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence (AI), and quantum information technology. For more information about our team, visit  https://www.microsoft.com/en-us/quantum.

We are seeking a Senior Quantum Engineer – System Characterizationto characterize and validate cryogenic control hardware used in our quantum computing systems. This role focuses on system‑level performance characterization, bridging cryogenic electronics and quantum device measurements. Working within the cryogenic complementary metal‑oxide semiconductor (cryo‑CMOS) team, you will have the opportunity to make a significant impact on a revolutionary technology. We are looking for an experimentalist with substantial experience measuring semiconductor qubit and/or quantum dot devices with a strong passion for interdisciplinary collaboration.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Characterize the performance of integrated cryogenic ASIC‑based control systems interfacing with quantum devices.
• Design, execute, and analyze measurement campaigns to evaluate cryogenic control hardware and system behavior.
• Develop and refine measurement techniques to assess device‑level and system‑level performance.
• Collaborate closely with multidisciplinary partners—including ASIC designers, electrical engineers, qubit measurement engineers, and theorists—to inform and optimize system design.
• Analyze, document, and communicate characterization results, limitations, and findings to hardware and system development teams.
• Verify that the integrated cryogenic control system meets defined performance requirements and specifications.
• Other
• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Bachelor’s Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment.
• OR Master’s Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment.
• OR Doctorate in Physics, Engineering, or related field AND 1+ years experience in industry or in a research and development environment (which may include completion of a post‑doctoral research position).
• OR equivalent experience.

Other requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.
• Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development.
• Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval (e.g. instrument manuals, design docs).

Additional/Preferred Qualifications

• Doctorate in Physics, Engineering, or related field.
• 6+ years of experience with:
• Low‑noise electronic measurements (e.g., lock‑in amplifiers, analog preamps).
• Cryogenic techniques (e.g., Helium 3 cryostats or dilution refrigerators).
• Electrical transport characterization (semiconductors, dielectrics, superconductors).
• Radio frequency (RF) or microwave measurement techniques.
• Data acquisition and programming in a high‑level language (e.g., Python).
• 4+ years of experience with quantum measurement of semiconductor qubit or quantum dot devices.
• Experience with analog electronic circuit design.
• Experience with technical report writing and documentation.
• Experience with cross‑team collaboration and/or mentoring.

Quantum #QuantumCareers #MDQCareers

Quantum Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The CO+I AI Delivery team is focused on delivering various platform services to our global AI customers.   This role will require deep partnership throughout all of Microsoft as these programs will be on the leading edge of innovation and will include driving pilots and other experiments that shape our ongoing commitment to deliver AI platform services rapidly at cloud scale. We are part of Cloud Operations + Innovation (CO+I), the team behind one of the world’s largest cloud infrastructures, responsible for powering all Microsoft online products and services as well as powering Microsoft’s “Cloud First” mission. CO+I is focused on growth, efficiency, and delivering a trusted experience to customers and partners worldwide.

We are seeking a highly capable Senior Technical Program Manager (TPM) to drive AI Deployment Acceleration across complex, large scale environments. In this role, you will own and orchestrate end to end technical programs that accelerate the delivery of AI compute, platforms, and services—from concept through production at global scale.  You will operate at the intersection of infrastructure, hardware, software platforms, and operations, working closely with engineering, supply chain, data center, and business stakeholders to reduce cycle time, eliminate blockers, and deliver AI capacity faster and more predictably.  This role requires strong technical depth, operational rigor, and the ability to influence across organizational boundaries without direct authority.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Owns end-to-end cloud data center supply strategy and execution, ensuring capacity availability, scalability, and delivery readiness aligned to cloud and AI demand (CPU/GPU). Operates independently across highly complex, cross-organizational initiatives, translating demand signals into executable supply and infrastructure plans.

• Define strategy and success by setting program goals, OKRs/KPIs, and prioritized deliverables for multi-product cloud supply planning programs. Translate demand forecasts and business requirements into integrated, future-proof supply solutions in partnership with engineering, construction, operations, and finance. Proactively identify risks, evaluate tradeoffs, and deliver data-driven recommendations to senior leadership.
• Own end-to-end execution of cloud data center supply planning programs aligned to cloud and AI workload demand (CPU/GPU). Independently scope initiatives, structure workstreams, define milestones and critical paths, and drive execution across highly complex, cross-organizational environments.
• Drive execution rigor and alignment by running structured programs and execution reviews, establishing clear operating rhythms, and enforcing accountability. Communicate status, risks, gaps, tradeoffs, and required decisions with clarity to executive stakeholders, serving as the primary execution liaison between technical teams and business leaders.
• Partner across engineering and the ecosystem to align technical requirements, designs, and standards with supply planning and delivery timelines. Coordinate cross-org execution to resolve blockers, ensure delivery readiness, and reliably support business growth targets. Lead strategic workshops to align on assumptions, scenarios, and execution plans.
• Measure and improve performance by monitoring telemetry, KPIs, and AI-driven insights to assess program health and outcomes. Form hypotheses, run experiments, and iterate to improve time-to-market, reliability, scalability, and ROI. Share best practices and raise execution maturity across teams.
• Build durable planning capabilities by owning core supply planning artifacts (execution plans, roadmaps, status reporting, leadership updates). Drive simplification, standardization, and automation of planning processes to improve predictability, agility, and execution velocity, fostering strong long-term internal and external partnerships.

Embody our culture and values.

Qualifications

Required/minimum qualifications

• Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 2+ years of experience managing cross-functional and/or cross-team projects.

Additional or preferred qualifications

• Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 6+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).

COICareers | #EPCCareers | #DCDCareers

Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are building a planet-scale multi-modal database and infrastructure for executing agents (including orchestration and memory) from the ground up. You will be part of the team that is reimagining the databases in the era of Large Language Models (LLMs) by deeply integrating Artificial Intelligence (AI) into all parts of the stack.

As a Principal Software Engineer, you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will be responsible for operating the service for some of the largest enterprise customers. You will be working on operations, live site, deployment, monitoring, compliance, alerting and maintaining the Service Level Agreement (SLA) for our service.

Successful engineers in our team have problem solving, design, coding and debugging skills, drive for execution and results, rigor in delivering quality software and a desire for continuous learning. Our team values a friendly, collaborative atmosphere with a passion for technology, and we believe that an inclusive team with diverse perspectives that applies empathy and uses effective communication skills helps deliver superior products and is key to success. This is a great opportunity to challenge yourself, grow your career, and influence the next generation of computing at Microsoft.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• This is an individual contributor that requires leadership capabilities and requires hands-on coding in C++, C#/Java.

• Independently execute in the face of ambiguity.

• Leads identification of dependencies and the development of design documents for a product, application, service, or platform.

• Writes efficient systems code and able to debug distributed systems.

• Holds accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, or Java.

• • OR equivalent experience.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java.

• • OR equivalent experience.

• Experience in shipping products and reliable, scalable services.

• Currently programming/coding in your current or most recent role.

• Hands on experience with asynchronous programming and concurrency (threads, tasks, futures, async/await).

• Experience with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and/or Google Kubernetes Engine (GKE)

• Experience in building database engines, query engines, indexing solutions (columnar, full-text, vector), at scale.

• Experience with programming CUDA, AI systems at scale.

• Experience with live site operations, Site Reliability Engineering (SRE) or production support roles.

• Experience with Helm.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

About the Team

We build the cross-cutting capabilities that shape the future of human-AI interaction. Our work spans modalities—text, voice, vision, action—and pushes the boundaries of what intelligence can do in people's lives. We partner deeply with design, product, and applied AI to ship extraordinary experiences that define what Copilot becomes. The problems we solve don't fit neatly into one layer of the stack or one corner of the org—which is exactly what makes them interesting. Our mandate is to make Copilot the essential AIcompanion: ubiquitous, always capable, always there. We're building for a future where AI doesn't just respond—it acts, creates, and orchestrates.

About the Role

You'll build revolutionary experiences at the intersection of modality and intelligence. The pace is fast. The ambiguity is high. You'll ship things that millions of people use—and you'll ship things that don't exist anywhere else yet.

If you want to work on well-scoped problems with clear answers, this isn't the team. If you want to define the future of how humans and AI live and work together, come build with us.

Responsibilities

• Create breakthrough experiences that redefine what an AI companion can do
• Build across modalities—voice, vision, text, and action—to make Copilot feel seamless and alive
• Own features end-to-end, from concept through production, at scale
• Collaborate with applied AI researchers to bring cutting-edge model capabilities to users
• Ship experiments rapidly, learn from usage, and iterate toward experiences that feel like magic
• Work across team boundaries on problems that span the entire product

Qualifications

Required Qualification

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Strong full-stack fundamentals across frontend (React, TypeScript) and backend systems
• Proficiency in Python or similar languages for backend development
• Experience building scalable web APIs and services
• Comfort with ambiguity and the ability to move fast in loosely-defined problem spaces
• Taste for great product experiences and a drive to ship work that matters

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. Our full-stack approach involves exciting innovation from the physics of quantum devices through scalable readout and control systems based on cryo-electronics. The Microsoft Quantum program strives to fundamentally change the world of computing to help solve some of humankind’s currently unsolvable problems. We are on the cusp of an accelerated effort in quantum computing. This position offers an opportunity to have a meaningful influence on a revolutionary technology. For more information about the Microsoft Quantum team, please visit  https://quantum.microsoft.com/

The Quantum program is seeking a Principal Quantum Engineer to develop the world’s first scalable quantum computing system. This role is suited for engineers who independently deliver complex quantum engineering work while expanding technical depth and cross‑team influence.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. At Microsoft Quantum, we aim to empower science and scientists to solve the world's biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology.

Responsibilities

• Technical Execution & Engineering: Support the design, implementation, and improvement of quantum devices and supporting technologies by running experiments, simulations, and engineering analyses that evaluate performance, validate designs, and guide nextstep enhancements, applying strong engineering and physics fundamentals throughout.
• Measurement, Experimentation & Analysis: Develop and apply measurement techniques to characterize devices, materials, or systems; analyze experimental or simulation data to guide decisions; and refine designs or approaches based on results and feedback.
• Collaboration & Knowledge Sharing: Partner with crossdisciplinary hardware, software, fabrication, and research teams to align on technical goals, document methods and results for reuse, and integrate expert input as needed.
• Tools, Safety & Best Practices: Apply engineering best practices to develop and improve tools, processes, and documentation that support quantum R&D, and uphold safety and laboratory standards, escalating issues as needed to maintain a safe work environment.
• Community & Outreach (as applicable): Contribute to internal knowledge sharing through presentations, documentation, or technical discussions, and support external engagement - such as conferences, workshops, or collaborations—alongside senior team members.
• Other:Embody our culture and values.

Qualifications

Required/Minimum Qualifications

• Doctorate in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment
• OR Master's Degree in Physics, Engineering, or related field AND 10+ years experience in industry or in a research and development environment
• OR Bachelor's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

• Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development.

• Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation).

Additional or Preferred Qualifications

• Doctorate in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment
• OR Master's Degree in Physics, Engineering, or related field AND 12+ years experience in industry or in a research and development environment
• OR Bachelor's Degree in Physics, Engineering, or related field AND 15+ years experience in industry or in a research and development environment
• OR equivalent experience.

Quantum #QuantumCareers #MDQCareers

Quantum Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

OneDrive and SharePoint are rapidly growing services at the center of Microsoft's cloud, interacting with almost every part of Microsoft. You would be a part of a team that is fundamentally changing the way that millions of people use their devices and interact with the most important content for their home, work, and school.

We are looking for a smart, agile, and intellectually curious Software Engineer II who love creating and building things that delight and protect our customers. You will be working with a team of amazing engineers, PMs, and designers, and work closely with other teams across Microsoft to deliver large scale, distributed architectures, and features to meet OneDrive and SharePoint's core service needs.

You will work in large-scale distributed systems that are critical for customers around the world.  You will design and deliver services that manage internet-scale data stores, enable best-in-the-world file and site browsing and editing performance, or add innovative features to how people manage and interact with their data.  Given the scope of OneDrive and SharePoint, we have positions that range from the very front end of how a customer interacts with our services, through core system logic, to mega-scale storage, to background infrastructure to support our services and the engineers that build and maintain them.  Everything you do will be supported by a world-class engineering team.

As an engineer in our team, you will contribute to and help shape the vibrant, inclusive engineering culture of OneDrive & SharePoint.  You will be expected to do deep, data-driven, collaborative design for additions and changes to our products.  You will write clean, efficient code and comprehensive tests.  You will build excellent coverage with metrics and telemetry to ensure we understand exactly what is happening with our services at all times.  And you will deliver features that will support and serve hundreds of millions of customers around the world.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Works with appropriate stakeholders to determine user requirements for a set of features.

• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Embody the Microsoft culture and values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 3+ years of industry programming, software development, and/or software engineering experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience. Awareness, passion, and experience related to cloud scale distributed design and patterns.
• Familiarity with secure software design concepts.
• Proven track record of delivering projects that include multiple components.
• Ability and eagerness to work across and partner with multiple engineering teams to achieve business and engineering goals.
• Able to learn new systems quickly and adapt new methodologies to our services.
• Experience in coding, debugging, algorithm design, and problem-solving skills.
• Experience with cloud-scale services and server/service management features.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset and a theme of inspiring excellence. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world.

We are seeking a Software Engineer II - Security for our Security Assurance Engineering team. Our goal is to understand the threats we face from emergent attacks and help mitigate against real world adversary tactics, tools, and procedures utilizing a data driven approach. As part of the Microsoft Security organization, you will have a direct impact in contributing to 'Security above all else' mandate under the Microsoft Secure Future Initiative (SFI). Which drives our mission to protect customer data and privacy in the world's largest productivity suite. You'll work directly on advanced technologies, protecting our M365 services with cutting-edge security solutions including access control, secrets management, data analysis, DevOps, and engineering processes.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Improve application security maturity at scale by designing, implementing, and building security solutions.
• Partner with product managers and security leaders to ensure security work is being prioritized and addressed across Microsoft 365 services.
• Building prototypes and proof-of-concept code, working alongside the engineering teams to provide advice on secure design and implementation.
• Responsible for designing, building, and maintaining platforms at cloud-scale aimed at providing the information needed to enforce security policy and improve the security posture of Microsoft’s services.

Qualifications

Required/minimum qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

.

Additional qualifications:

• Experience in cybersecurity
• Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience Optimizing automation, reliability, and monitoring of Livesite.
• 2 + years Industry experience in designing, building, and operating highly available, scalable distributed systems on cloud platforms (Azure preferred) with production ownership and CI/CD pipeline integration
• 2+ years of experience with a modern back-end programming language (C# preferred) with applied knowledge of secure service development practices such as service authentication, data protection and access control

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Help Outlook Mobile build the world’s best mobile email experience on Android.

Millions of users rely on Outlook to stay connected and productive, and we’re committed to delivering a fast, reliable, and beautifully native app. Our team is passionate about quality, innovation, and the unique capabilities of Android. We balance performance with design excellence, iterate quickly, and use data-driven insights to create experiences customers love. We value collaboration, diversity of thought, and an inclusive culture where every voice matters.

As a Software Engineer in Outlook for Android, you will design and build innovative features that make email and calendar experiences seamless on Android devices. You will work on a fast, secure, and beautifully native app that millions of users rely on every day.

This opportunity will allow you to:

• Accelerate your career growth by working on a globally scaled product.
• Deepen your expertise in Android development and modern mobile architecture.
• Gain hands-on experience with AI-driven coding and data-informed product decisions.
• As a member of the Outlook for Android team, you’ll work on a fast-paced, highly collaborative team that values innovation, reliability, and native design excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design and build Outlook for Android: Define architecture, implement new features, and deliver a secure, high-performance app. Produce well-tested, maintainable, and instrumented code; use telemetry and analytics to identify bugs and improve performance.
• Create delightful experiences: Develop beautiful UI and intuitive UX that feel native to Android.
• Collaborate effectively and contribute to best practices: Work with PMs, technical leads, and partner teams to define requirements, APIs, and technical solutions. Participate in technical discussions, share ideas, and apply modern development tools and processes.

• Incorporate feedback and data: Leverage customer insights, usage patterns, and experimentation to guide design decisions and continuous improvements.

• Embody our Culture and Values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or Kotin OR equivalent experience.

Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualfications:

Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

• 4+ year(s) object-oriented programming experience in languages including, but not limited to, Kotin or Java.
• 2+ year(s) building and supporting user-facing products.
• Experience building user interfaces and/or client applications.
• Solid customer focus with a passion for delivering high-quality user experiences.
• Proven experience in AI-assisted coding or developing solutions that leverage AI technologies.

microsoft, #swe, #android, #outlook #gxp

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.​

​​We are hiring a Principal Software Development Engineer to join the Azure PostgreSQL team, where you will work on and drive innovations in one or more areas of a relational database engine such as Query processing, Transaction logging and recovery, Versioning, IO subsystems, Scale-out and Distributed systems. You will have the opportunity to contribute to open-source PostgreSQL and Linux, and\or develop extensions.

The group fosters a diverse and inclusive work culture that prioritizes people at all times. We spend our days collaborating with, teaching, and learning from a diverse set of world class engineers. We develop, test, and check code in every day. We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

• Oversees overall system architecture for a critically important and high-impact space such as a connection with deep technical domains or a broad set of products or services at critical junctures (e.g., early in development, urgent time horizon).
• Creates a strategic roadmap for the system architecture by considering how related systems will evolve in the near future. Ensures architecture design is appropriately authored, documented, and reviewed.
• Establishes, influences, and ensures policies and procedures for developing extensible, reusable, and maintainable code, identifying and addressing coding issues, and conducting effective code reviews for a critically important and high-impact space such as those with deep technical domains connections or a broad set of products or services at critical junctures (e.g., early in development, urgent time horizon). Writes proof of concept code as needed and may develop code directly as needed.
• Maintain operations of live service as issues arise on a rotational, on-call basis.

Embody our culture and values

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Job Requirements: Other & Additional

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• 4+ years of experience in developing and shipping system level features in an enterprise production backend server system.
• 2+ years of experience building and supporting distributed cloud services with production grade.
• ​​Experience with internals of PostgreSQL or similar Enterprise Database Management system, including Query processing, Storage Engine and High Availability.
• Experience building Distributed Systems with strong guarantees.
• Understanding of data structures, algorithms, and distributed systems.
• Solve problems by always leading with deep passion and empathy for customers.

azdat #azuredata

​​#postgresql #databases #linux​ #postgres

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.​

​​We are hiring a Software Development Engineers and Senior Software Engineers to join the Azure PostgreSQL team, where you will work on and drive innovations in one or more areas of a relational database engine such as Query processing, Transaction logging and recovery, Versioning, IO subsystems, Scale-out and Distributed systems. You will have the opportunity to contribute to open-source PostgreSQL and Linux, and\or develop extensions.

The group fosters a diverse and inclusive work culture that prioritizes people at all times. We spend our days collaborating with, teaching, and learning from a diverse set of world class engineers. We develop, test, and check code in every day. We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

• Works with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features.
• Contributes to processes for the architecture of a product/solution feature and helps to create proposals for architecture by testing design hypotheses and helping to refine code plans, with technical leadership from others.
• Creates a clear and articulated plan for testing and assuring quality of solutions, and defines success for outcomes of tests (e.g., unit tests).
• Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.
• Maintains operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple issues and complex issues when applicable impacting performance or functionality of Live Site services and escalates as necessary.
• Builds knowledge, shares new ideas, and shares pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for complex product features. Uses open source when possible.​

Embody our culture and values

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience..

Job Requirements: Other & Additional

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• 2+ years of experience in developing and shipping system level features in an enterprise production backend server system.
• 2+ years of experience building and supporting distributed cloud services with production grade
• ​​Experience with internals of PostgreSQL or similar Enterprise Database Management system, including Storage Engine and High Availability.
• Experience building Distributed Systems with strong guarantees.
• Understanding of data structures, algorithms, and distributed systems.
• Solve problems by always leading with deep passion and empathy for customers.
• Have a deep desire to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes.​

azdat #azuredata

​​#postgresql #databases #linux​ #postgres

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Independently leverage AI tools and practices across the software development lifecycle (SDLC), taking responsibility for AI-generated assets and coaching team members to adopt responsible AI-assisted development practices. Lead by example to produce extensible, maintainable, well-tested, secure, and performant code; apply metrics to drive code quality and stability, and continuously improve code performance, testability, and cost-effectiveness across the team. Own and drive the architecture and design of product components, creating design specifications, and ensuring system architecture meets performance, scalability, resiliency, and disaster recovery requirements with minimal technical oversight. Collaborate with partner teams, PMs, and subject matter experts (privacy, security, SRE) to determine customer requirements, incorporate feedback, and deliver scalable, reliable features with proper end-to-end testing. Drive engineering excellence through automation, tooling improvements, security best practices, and deployment infrastructure. Maintain operations of live site services on a rotational on-call basis, implement solutions to complex live-site issues, conduct and present incident postmortems, and proactively improve troubleshooting guides, telemetry, and monitoring to reduce incident volume. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience building and operating large-scale distributed systems on cloud platforms (Azure, AWS, GCP), including design, deployment, monitoring, and troubleshooting of production workloads. Experience designing and implementing service architectures with strong emphasis on scalability, reliability, fault tolerance, and cost optimization. Experience using observability tools (logging, metrics, distributed tracing) to diagnose complex service issues and drive systemic reliability improvements. Experience mentoring engineers, driving code reviews, and raising engineering best practices within a team. Familiarity with experimentation platforms, A/B testing methodologies, and statistical analysis of product metrics. Experience with AI-assisted development workflows and responsible use of AI coding tools in production environments. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation.

Overview

Overview:

CoreAI sits at the center of Microsoft’s mission to redefine how software is built and experienced, providing the foundational platforms, services, and developer experiences that power the next generation of AI-driven applications. As part of CoreAI, the Experimentation Platform (ExP) enables trustworthy, high-scale online experimentation that accelerates product learning and drives progress across Microsoft’s AI ecosystem. You will play a pivotal role in shaping the technical direction of systems that help teams ship better AI experiences faster by providing the experimentation capabilities needed to evaluate, refine, and safely deploy new innovations.

In this role, you will lead the architecture and development of one of the highest-scale experimentation platforms - critical infrastructure that enables rapid iteration in AI systems and product features across Microsoft. You will drive the technical vision for services that empower engineers and scientists across the company to measure impact, validate hypotheses, and advance state-of-the-art AI capabilities through rigorous experimentation. This is an opportunity to lead complex, cross-team technical initiatives while shaping the future of distributed systems architecture, service reliability, and experimentation methodologies at Microsoft scale. You will thrive in this role if you are a technical leader who enjoys driving architecture decisions across teams, mentoring senior engineers, and building the reliable infrastructure foundations that accelerate Microsoft’s progress in AI.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Responsibilities

Responsibilities:

• Champion and improve AI tools and practices across the software development lifecycle (SDLC), incorporating appropriate controls over AI-generated assets.
• Lead by example across teams to produce extensible, maintainable, well-tested, secure, and performant code; identify and establish coding best practices, create and apply metrics to drive code quality and stability, and mentor engineers to continuously raise the engineering bar.
• Own and lead the architecture of complex product solutions, driving design discussions, evaluating new technologies to solve problems, and ensuring system architecture meets performance, scalability, resiliency and disaster recovery requirements.
• Lead cross-team collaboration to identify dependencies, negotiate delivery schedules, drive alignment across partner teams, and ensure proper end-to-end testing, live-site coverage, scalability and performance before going live.
• Drive engineering excellence across products; lead efforts targeting zero-touch deployment, production reliability, and security hardening for both protections and detections.
• Hold accountability as a designated responsible individual (DRI) across products and solutions, mentor engineers on live-site operations, lead incident retrospectives that drive systemic

Qualifications

Qualifications Required:

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred:

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Extensive experience architecting and operating large-scale distributed systems on cloud platforms (Azure, AWS, GCP), with demonstrated ownership of critical production infrastructure serving millions of users. · Track record of designing highly scalable, resilient service architectures with strong emphasis on fault tolerance, disaster recovery, and cost optimization at scale. · Deep experience using observability tools (logging, metrics, distributed tracing) to diagnose complex cross-service issues and drive systemic reliability improvements across multiple products. · Proven experience mentoring senior engineers, driving technical direction, conducting design reviews, and raising the engineering bar across teams.
• Experience with experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact and driving data-informed ship decisions. · Experience leading security hardening efforts, threat modeling, and incident response processes for production systems.
• Experience championing AI-assisted development workflows and establishing responsible AI coding practices across engineering teams.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Design, implement, and maintain clean, reliable, testable code using best practices and responsible AI-assisted development while escalating blockers early. Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability. Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features. Build extensible, maintainable services and features with strong diagnosability, reliability, and production-readiness. Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents. Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience working with cloud platforms (Azure, AWS, GCP), building and maintaining distributed systems including deployment, monitoring and troubleshooting of production workloads. Experience using observability tools (logging, metrics, tracing) to diagnose service issues and improve system reliability. Experience with experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact and driving data-informed ship decisions. Familiarity with AI-assisted development workflows or responsible use of AI coding tools. Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation.

Contribute to the design, development, implementation, and testing of data science techniques to enhance and expand detection systems. Apply big-data methods to ensure scalability and performance. Collaborate with key stakeholders to understand gaps and requirements and effectively translate from business problem to technical approach. Communicate technical concepts to a variety of audiences to enable shared understanding. Develop and maintain detailed documentation for models and features to support debugging, troubleshooting, and long-term code maintenance. Maintain awareness of trends in cybersecurity and insider risk detection strategies to identify opportunities to apply novel methodologies, share knowledge and contribute to technical discussions, and participate in internal/external conferences. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience These requirements include, but are not limited to the following specialized security screenings: Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local US government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. 1+ years experience in programming in Python and SQL or SQL-like language 1+ years experience in cybersecurity or insider risk programs 1+ years experience in software development concepts like unit testing and CI/CD frameworks 1+ years experience in applications of unsupervised machine learning or anomaly detection methods to business problems Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year. Certain roles may be eligible for benefits and other compensation.

Overview

The Azure Maia team is at the forefront of software+hardware AI innovation! Azure Maia is Microsoft's in-house AI accelerator, designed to deliver exceptional performance, scalability, and cost efficiency for frontier AI workloads. If you are passionate about AI and the intersection of software and hardware, thrive in a fast-paced environment while taking a long-term view, and are eager to make a significant impact, we want you to be part of our journey. Join us and help create the future of AI with Azure Maia!

As a Senior Product Manager for the Maia SDK, you will play a pivotal role in shaping the future of Azure's AI stack, collaborate with our customers and understands their workloads, work with top engineers and hardware experts to bring new generations of Azure Maia features to life in the SDK that will delight these customers using Maia on Azure's AI fleet.

Responsibilities

Qualifications

Required Qualifications:

• Bachelor’s Degree AND 5+ years’ experience in product/service/project/program management or software development
• OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• 4+ years of experience managing cross-functional and/or cross-team projects with emphasis on large scale cloud Hardware & infrastructure.
• Proven ability to understand, synthesize, summarize, & communicate solutions to complex technical problems.
• A sizable portfolio of success with driving complex projects spanning multiple teams and matrixed organizations.
• Familiarity with GPUs or other HW/AI accelerators
• Hands-on experience working with deep learning and AI frameworks, Python packaging and distribution, releasing and distributing SDKs
• Ability to work closely with developers to extract and document technical details effectively
• Proven ability to work effectively across geographically distributed teams
• Experience with CI/CD pipelines for automated documentation generation, packaging, integrating builds, versioning, and deployments

Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Microsoft aspires to help our customers achieve their secure digital transformation, leveraging the power of Microsoft cloud security solutions and support offerings.  Microsoft’s Security platform and products leverage and secure Azure - the most comprehensive, innovative, flexible, and Secure cloud platform today - and Microsoft 365 - the most comprehensive productivity and collaboration platform. Microsoft is hiring security professionals to drive customer security adoption for customers around the world. Microsoft continues to invest over $1B per year in cybersecurity and research, to provide its customers with solutions that integrate across the ecosystem by connecting and securing all of your identities, endpoints, apps, emails, docs and clouds to help you close critical gaps in coverage, reduce risk, and save costs with a streamlined security portfolio.

We are looking for a highly motivated and passionate Cloud Solution Architect - Security to drive our customer’s security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.

As a Cloud Solution Architect - Securityyou will specialize in one or more of the following categories: Cloud Security, Threat Protection, or Identity and Access Management (IDAM)depending on your experience.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this role, you will be codered for multiple opportunities within Microsoft across the United States including locations beyond where the role is posted. This role is flexible in that you can work up to 50% from home. Travel percentages will vary according to role.

Responsibilities

This role will give you the opportunity to leverage your experience in customer-facing roles and success in leading in-depth technical security architecture discussions with customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to to Secure our customer’s technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.

Key responsibilities include:

• Land an end-to-end value prop for Security (i.e. Zero Trust) which spans the breadth of Microsoft Security offerings.
• Empower customers in their Microsoft Security adoption journey, helping them to define a Secure strategy, Architecture, and implementation of necessary security controls aligned with Microsoft Azure and M365 E5 Security Services including Identity and Access management, Threat Protection, Cloud Security, Information Protection.
• Perform hands-on activities, supporting the customer in evaluating native security solutions in areas such as Microsoft 365 Defender, Microsoft Defender for Cloud, Sentinel, and Azure Active Directory, among others.
• Accelerate Business Value of overall Azure adoption by improving security posture and ensuring that the solution exhibits “Secure by Design” or “Well-Architected” framework, such as high-performance levels, security, scalability, maintainability, appropriate reusability, and reliability upon deployment.
  Apply technical knowledge to architect security solutions that meet business needs, infusing key security technologies where appropriate.
• Run Architectural Design Session to build a plan for implementing the solution – governing design in line with customer business goals and their technical environment.  Outcome is consensus on solution design and next steps toward production.
• Be a Voice of Customer to share insights and practices, connect with Global Security teams at Microsoft, Engineering and Product teams to remove blockers and influence the solution roadmap.
• Trouble shoot technical issues to prove value of implementation of Security technologies.
• Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions with the Microsoft Security platform.
• Orchestrate technical resources that may be required to deliver business outcomes.

Other

• Embody our Culture and Values

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

• OR equivalent experience.

Other Requirements:

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting.

• OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting.

• OR equivalent experience.

• 4+ years experience working in a customer-facing role (e.g., internal and/or external).

• 2+ years experience working on technical projects.

• Technical preferences in one or more of the following categories:

• Cloud security:technical aptitude or experience to design, architect, and implement Azure Security solutions such as Microsoft Defender for Cloud and Microsoft Sentinel that meet business, IT, Regulatory needs – infusing Azure Security technologies where appropriate. Candidates should also have skills in cloud infrastructure security architecture and secure implementation of Azure solutions.

• Threat Protection: technical aptitude or experience to design, architect, and implement Microsoft Security solutions such as Microsoft 365 Defender, Microsoft Defender for Cloud and Microsoft Sentinel to meet business, IT, Regulatory needs. Candidates should also have skills in security playbook creation on response.

• Identity and Access Management: technical aptitude or experience to implement Microsoft Azure Active Directory or products as an Identity provider along with developing a plan for migrating application authentication to Azure Active Directory and implementing key technologies like Conditional Access, Identity Protection and Identity Governance. This should also include the deployment of Microsoft Intune and/or Microsoft Endpoint Protection and policies for securing these services

• Certification in one or more of the following technologies preferred: Microsoft Azure Security Technologies, Cloud Security, Online Certificate Status Protocol, Global information Assurance Certification, Incident Response.

• Knowledge of cloud security platforms.
• Enterprise-scale technical experience and experience to learn new cloud security technologies and understand relevant cloud security market trends.
• Experience in security and expertise around related technologies and concepts such as Zero Trust, threat management, Security Operations Center monitoring, Extended Detection & Response, Access Control, Cloud Security Architecture, and/or Data Security.

Cloud Solution Architecture IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommod

Overview

Are you passionate about cybersecurity? Do you enjoy working on a high-performing, fast-paced sales team? If so, we are looking for you! The Microsoft Security organization’s mission of making the world a safer place has never been more important. As threats become more frequent and sophisticated, we must keep our customers safe through our Security Solutions. The Solution Specialist team within the Microsoft Security organization is at the forefront of this effort, engaging directly with customers to contribute to their success.

As a Sales Specialist - Security, you will be a solution sales leader, selling Microsoft Security to our largest customers across various business groups in our enterprise, regulated, and partner services organizations.. You will manage senior level business relationships, understand customer challenges and priorities, identify security opportunities, build solutions and business cases to close the sales. You will do this with your deep Industry and Security knowledge, technical acumen, and by leading a virtual team of resources across the Microsoft and Partner ecosystem. You will allocate your time on customer-facing activities driving sales conversations, internal meetings for collaboration and sales management, and learning & development. We are looking for passionate, experienced, and credible Sales Specialists - Security with a drive for developing and winning sales opportunities that deliver significant customer value and accelerate their digital transformation journey.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this role, you will be considered for multiple opportunities within Microsoft across the United States including locations beyond where the role is posted. This role is flexible in that you can work up to 50% from home. Travel percentages will vary according to role.

Responsibilities

• Sales Execution: Introduces how to enable digital transformation across workloads and collaborates with a virtual team to assess customer needs and proactively build an external stakeholder mapping to implement strategies that accelerate the closing of deals, drive consumption and licensing transactions, and grow the business with current and new Customers.
• Scaling and Collaboration: Collaborates on the planning, orchestration, and execution of end-to-end Security opportunities with a network of partners to cross-sell and up-sell products, solutions and services.
• Technical Expertise: Leads end-to-end Security conversations, shares best practices and key competitor knowledge across solution areas and evaluates opportunities to make recommendations on pursuit or withdrawal.
• Sales Excellence: Collaborates with extended sales team, partners, and marketing to conduct business analysis to pursue high-potential customers and develop a target list of potential business. Manages the end-to-end Security pipeline of the assigned territory. Conducts forecasting for assigned accounts and develops a portfolio and territory plan with guidance. Completes required training and obtains relevant product and role certifications aligned to the role and workload/industry.
• Embodies our Culture and Values

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 2+ years experience in technology-related sales or account management OR equivalent experience. .

Other Requirements:

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Additional or Preferred Qualifications

• 7+ years of security-related sales or account management experience working in an industry (e.g., Healthcare, Government, Education, Manufacturing, Financial Services, Retail)
• 4+ years of solution or services sales experience.
• Domain experience in Microsoft Security and/or Compliance products.
• One or more of the following certifications is a plus: Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), Security Certification SC-500, Azure Certification AZ-900
• Technical passion with good understanding of cloud security technologies -  Threat protection (Endpoint security, E-mail security, Incident Response, etc.), Kill Chain, Cloud Native Application Protection Platform (CNAPP), Security Information and Event Monitoring (SIEM), Multi-Cloud Security, Identity and Access management
• Familiarity with Microsoft Artificial Intelligence I-based security offering(s) such as Security Copilot as well as other related technologies such as Microsoft 365 Defender, extended detection and response (XDR) and Sentinel, or one or more related technologies such as Prisma Cloud, Crowdstrike, Proofpoint, Splunk is a plus.

Solution Area Specialists IC3 - The typical base pay range for this role across the U.S. is USD $87,000 - $148,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $113,400 - $164,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Solution Area Specialists IC4 - The typical base pay range for this role across the U.S. is USD $107,600 - $187,500 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,600 - $205,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Overview

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer.

This role is available in Redmond, WA

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you.

As part of our team, you’ll:

• Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
• Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
• Work on cutting-edge technologies in distributed systems, machine learning, and big data.

Why join us?

• Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
• You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
• Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
• Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team's and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
• Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
• Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
• Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• Experience in Azure.
• Experience in Machine learning and online system design, implementation and qualification.
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

MicrosoftAI #BingAds

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you inspired to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence? We are seeking individuals to guide customers through the evolving digital landscape, enabling them to unlock new opportunities, enhance productivity, and deliver exceptional employee and customer experiences. Join us in integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, to help organizations realize seamless, innovative, and secure solutions that drive sustained growth and success in the AI era.

We are looking for a Cloud Solution Architect - Workforce AI for Copilot and Cloud Endpoint Teams. This is a customer-facing role that serves as a strategic trusted advisor and technical subject matter expert, accelerating AI adoption and change management by creating business value and ROI. Candidates will need expertise in one or both of the following areas:

• Microsoft 365 Copilot - specializing in AI solutions and is passionate about driving our customers’ AI transformation journey with Copilot Chat, Agents, and M365 Copilot.
• Microsoft Cloud Endpoint - specializing in cloud-based endpoint management and virtualization solutions. Ensuring seamless onboarding, adoption, and value realization across Microsoft’s endpoint solutions, including Windows 365, Azure Virtual Desktop (AVD), and Intune.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying to this role, you will be considered for multiple opportunities within Microsoft across the United States including locations beyond where the role is posted. This role is flexible in that you can work up to 50% from home. Travel percentages will vary according to role.

Responsibilities

• Be a trusted advisor and drive business value through AI Transformation: Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Drive Customer Success: Lead architectural design, engaging with business and technical decision makers to drive intent and enable sustained usage of Copilot Chat, Agents, and M365 Copilot and/or Windows 365, AVD, and Intune, securing long-term customer success and renewal.
• Explore growth opportunities: Partner with technical and sales teams to identify opportunities and develop tailored solutions to drive expansion and business value realization.
• Accelerate Customer Cloud and AI Endpoint Journey: Engage in relevant communities to share expertise, contribute to IP creation, prioritize IP re-use, and learn from others to help accelerate your customer’s AI transformation journey.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback, and success stories to inform internal strategy and execution.
• Learn-it-all:Demonstrate a self-learner mindset through continuous, self-directed learning in areas such as Copilot Chat, Agents, M365 Copilot and/or endpoint management, virtualization, AI integration as well as business value realization, and adoption and change management. Build and maintain technical readiness aligned to Customer Success Unit (CSU) priorities and corporate initiatives.
• Embody our culture and values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR equivalent experience.

Other Requirements:

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR a Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years of experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
• OR equivalent experience.
• 4+ years experience working in a customer-facing role
• 4+ years experience working on technical projects.
• Technical Certification in Cloud (e.g., Microsoft 365 Certified: Administrator Expert,Azure, Amazon Web Services, Google, security certifications, etc.).

Cloud Solution Architecture IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

The Azure AI Knowledge team is leading the way to deliver the next chapter in retrieval augmented generation by combining knowledge with Agents at scale. We are expanding Azure AI Search, to meet the demands of complex queries that require refinement, reasoning and reflection to deliver high quality results for both people and LLMs. Our customers span different industries, corpus sizes and have many key scenarios. Our work includes:

• Designing, building, and maintaining backend services with external and internal language model dependencies.

• Partnering with Applied Science to support and drive product evolution at scale.

• Working directly with GPUs to support production ML workloads at scale.

• Evaluation of production integrations to ensure end-to-end AI quality of Applied Science deliverables.

You can follow our progression from better search, to RAG, to agentic retrieval: 

• Azure AI Search: Outperforming vector search with hybrid retrieval and ranking capabilities – Microsoft Community Hub

• Raising the bar for RAG excellence: introducing generative query rewriting and new ranking model

• Up to 40% better relevance for complex queries with new agentic retrieval engine

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our mission to empower every person and every organization on the planet to achieve more. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together.  We collaborate regularly across the company with teams like Bing and Microsoft Research.

A major aspect of this role is to push our development of knowledge retrieval to the frontier. Someone who can work closely with an Applied Sciences team to solve the hardest customer challenges. Someone who understand where the latest reasoning models are best suited and can support the integration of low latency options in places where speed is critical.

If you are passionate about working on the latest and hottest areas in Artificial Intelligence, Machine Learning , all the while making search better for customers across the world and being part of one of the biggest cloud providers, then this is the team you’re looking for!

Responsibilities

1. Design, build, and maintain Azure backend services and associated APIs.

2. Leverage AI Tooling to accelerate the delivery of production services.

3. Partner with Applied Science to bring high quality prompts, ML models and pre and post processing components into production in a secure, reliable, and scalable way.

4. Providing evaluation tooling and support of production integrations to ensure end-to-end AI quality of Applied Science deliverables.

5. Focus on high quality goods which includes evaluation support

6. Understanding of state and state management for a production service at scale

7. Contribute to team plans, documents, and communication in a clear and efficient way.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Development of Azure Services with full understanding of service release and live-site responsibilities.

Coding in C# and Python in a production system.

Ability to move fast while ensuring quality at scale in a collaborative team setting leveraging AI Tooling

Development experience with large language models.
* 2+ years’ experience developing and deploying live production systems as part of a product team.

• Coding in C++ or Java in a production system.

• Excellent hybrid work skills – clear synchronous and asynchronous communication, strong teamwork, and collaboration skills

• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

• Problem solver: ability to solve problems that the world has not solved before.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you passionate about AI and eager to transform the IT landscape? Join our dynamic team as a Senior Sales Specialist -Cloud & AI Platforms to lead AI transformation and help customers modernize infrastructure, optimize operations, and drive innovation with Azure’s advanced AI capabilities. You’ll be part of an inclusive, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning are at the heart of everything we do.

As aSenior Sales Specialist -Cloud & AI Platforms, you'll be at the forefront of AI growth and disruption, guiding customers through their AI journey and helping them achieve their strategic goals. You'll ensure customers can fully harness the transformative potential of AI to stay ahead of the competition. If you're ready to make a significant impact and drive AI transformation, we invite you to join us and be part of this exciting journey!

This opportunity enables you to:

• Accelerate your career by leading high-impact Cloud & AI solutions.
• Develop technical and consultative selling skills.
• Build deep business acumen and future-ready capabilities.
• Strengthen leadership through collaboration and best practice sharing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Customer Engagement:

• Assesses and qualifies sales opportunities following sales frameworks and guidelines, ensuring alignment with AI-enhanced sales methodologies and best practices. Participates in strategy development for driving and closing moderately complex, significant value opportunities. Collaborates across organizations (e.g., Account Team Unit [ATU], CSU, ISD, GPS) to contribute to deal orchestration and handoffs throughout the deal lifecycle. Utilizes best practices to earn customer buy-in, secure deals, and mitigate risks to facilitate sales activities across the solution area.

• Drives sales strategies tailored to each customer's security priorities, showcasing Microsoft's dedication to secure, AI-powered transformation and addressing their specific needs within the customer success plan. Reviews and translates customer and partner feedback to establish recovery action plans. Develops relationships with key customer and partner stakeholders to understand sentiment and satisfaction goals Drives partner teams, resources and relationships are activated, driving co-selling strategies and partner attach to each opportunity through every stage in the sales lifecycle. Drives partner organization connections (i.e. GPS) to drive share, partner health, that aligns with execution plans to accelerate customer value realization at scale.

Sales & Pipeline Management:

• Analyzes business and emerging opportunities to improve the customer portfolio and encourage customer innovation. Leverages technology (e.g., AI sales agents, automation, Power Platforms) to drive growth within assigned domain. Utilizes propensity, renewal, consumption, and usage data to prioritize sales strategy. Optimizes partners assigned to each account and/or opportunity to facilitate handoffs with other teams (e.g., Global Partner Solutions [GPS], Customer Success Unit [CSU], Industry Solutions Delivery [ISD], Partner) throughout the deal lifecycle.

• Engages in sales pipeline reviews with internal stakeholders to drive forecasting accuracy and meeting sales targets, ensuring the use of AI-powered analytics and forecasting tools to enhance precision. Maintains sales and/or consumption pipeline hygiene to enable tracking to achieve assigned sales metrics using all available tools, resources, and processes Leads usage and/or consumption pipeline hygiene to actively monitor adoption trends, identify opportunities for intervention, enabling customers to realize the value of solutions purchased, drive expansion, and ensure healthier, more predictable renewals

Sales Strategy:

• Evaluates solution area(s) and market and develops insights to align sales plays with customer business priorities and outcomes, incorporating AI-driven predictive analytics to forecast future market needs. Partners across teams to propose solutions and strategies that align with customer business objectives. Identifies and addresses gaps, driving market engagement and sales execution.

• Partners with others cross-organizationally and supports the development of solutions to enable AI- and cloud-driven transformations for existing and new customers within the region, emphasizing the integration of cutting-edge AI technologies and cloud services. Leverages established strategies and participates in conversations with customers to distinguish Microsoft’s offerings in the competitive landscape. Serves as an trusted advisor for customers and guides the adoption of technologies and solutions that align with their goals and drive digital transformation.

• Leverages whitespace analysis and partners with others to identify business opportunities and market gaps within the assigned market domain, utilizing AI-driven market intelligence tools to assess trends and insights. Evaluates and disseminates market intelligence, trends, and insights across the team. Leverages established market analysis approach to ensure alignment with strategic directives and market trends.

• Leads discussions with customer stakeholders and decision makers to identify, qualify, prioritize and accelerate sales opportunities. Acts as a point of contact and collaborates with internal stakeholders within and across organizations to drive to customer success. Engages with account teams to align the customer's artificial intelligence (AI) transformation vision with their business priorities and success objectives. Incorporates and reinforces security principles in customer interactions, opportunity, and pursuits to maintain trust and compliance standards.

Other:

• Embody our culture and values

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND 4+ years of technology-related sales or account management experience
• OR equivalent experience

Other Requirements

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred Qualifications

• Master's Degree in Business Administration (i.e., MBA), Information Technology, Information Security, or related field AND 8+ years experience in technology-related sales or account management

• OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 12+ years experience in technology-related sales or account management

• OR equivalent experience
• 12+ years solution or services sales experience
• 12+ years of experience selling business solutions to global customers with a focus on Cloud Native, AI, or Data platform and/or analytics
• 12+ years of experience engaging with large enterprise customers, including managing multiple stakeholders and navigating complex sales cycles
• Working knowledge of Cloud Platform: Understanding of Microsoft Azure infrastructure, data, and AI application platforms, with the ability to articulate technical solutions to business and IT stakeholders

Solution Area Specialists IC4 - The typical base pay range for this role across the U.S. is USD $107,600 - $187,500 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,600 - $205,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Solution Area Specialists IC5 - The typical base pay range for this role across the U.S. is USD $133,000 - $222,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $170,300 - $239,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongo

Overview

Do you want to help shape the future of collaboration for millions of users worldwide? The Microsoft Teams Developer Platform empowers developers to build and integrate innovative experiences directly within Teams. Our team focuses on making conversations in Teams extensible and delivering frontier projects, high visibility initiatives that influence the direction of the industry. You will be joining a fast paced group at the intersection of collaboration, scale, and innovation.

As a Senior Software Engineer, you will design and deliver full stack solutions spanning client frameworks, backend services, and scalable data systems using modern technologies such as React, Node.js, .NET Core, Azure Cosmos DB, and Redis. You will build resilient, highly scalable features and public APIs that enable intelligent and agentic collaboration scenarios for millions of users and developers globally. This opportunity will allow you to deepen your expertise in systems design, distributed architecture, and cloud scale engineering, while contributing to one of the fastest growing products in Microsoft’s history. You will also be working at the forefront of AI and LLM integrations, shaping how intelligent agents transform collaboration.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Collaborate with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.
• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Other

• Embody our Culture and Values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven ability to collaborate across teams, manage ambiguity, and deliver results in fast-paced environments.
• 2+ years of experience architecting and building large-scale cloud applications.

MicrosoftTeams #FullStack #Engineering #React #Node #DotNet #GraphQL #AI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Are you a Principal Site Reliability Engineering Manager interested in improving the reliability of large-scale engineering systems serving multiple major Microsoft divisions? Are you seeking an opportunity to transform how we deliver engineering services, built on a foundation of SRE principles and practices like automated monitoring and alerting, automatic failover, and broadscale service best practices? Are you motivated by coaching and people leadership, helping a team of diverse SREs to unlock their full potential? If so, we have an opportunity for you.

The ES365 org is responsible for the engineering systems, tools, and services that comprise the end-to-end developer experiences for the teams that build Office, Exchange, and Microsoft 365, and who work in our largescale web frontend monorepo. Our areas of ownership cover source control, check-in processes, build, validation, and deployment automation. Reliability and operational proficiency are critical to keeping engineering teams productive, and our business needs have shifted from local on-prem operations experience to building and operating reliable cloud services at scale.

The Principal Site Reliability Engineering Manager will work effectively with a range of stakeholders, from executives to engineers, balancing near-term reliability improvements with long-term resilience strategies. You will drive cross-org partnerships, establish service level objectives (SLOs) and indicators (SLIs), and lead incident response and continuous improvement through Engineering Service Reviews, SRE service coownership campaigns, and establishing updated service best practice. We believe that significant achievements happen within high-functioning, trust-filled teams. A reliable manager ensures success in execution, promotes career growth, and cultivates a culture centered on customer focus, collaboration, diversity, and inclusion.

If you are committed to improving engineers' productivity and satisfaction through reliable, scalable tool and service operations, consider joining ES365. Be at the core of Microsoft and help shape the future of Engineering Systems by raising the bar on availability, performance, and operational success.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Partner with engineers, product managers, and partner teams to design, operate, and maintain reliable and resilient services, with clear operational requirements (monitoring, alerting, runbooks, capacity, and failure modes).

• Drive cross-org alignment through partnerships and co-development following the “One Microsoft” philosophy, including shared reliability standards and operational tooling.

• Build, grow, and retain a team of Site Reliability Engineers.

• Provide mentorship and coaching on reliability engineering, incident response, and pragmatic automation—within and beyond your team.

• Define, implement, and operate SLOs/SLIs and error budgets for critical engineering systems services; use them to guide prioritization and continuous improvement.

• Lead incident management for your services, including on-call health, escalation paths, blameless post incident reviews, modeling follow-through on corrective and preventive actions.

• Drive automation to reduce toil and improve operational efficiency across build, validation, and deployment systems (e.g., self-healing, safe rollouts, and automated remediation).

• Establish observability (metrics, logs, traces), capacity planning, and performance management to meet reliability and latency goals at scale.

• Foster a diverse and inclusive culture where everyone can bring their full and authentic self, while holding a high bar for customer impact and reliability.

Embody our culture and values.

Qualifications

Required Qualifications:

• Doctorate Degree in Computer Science, Information Technology, or related field AND 2+ years technical experience in software engineering, network engineering, or systems administration
• OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, or systems administration
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 5+ years technical experience in software engineering, network engineering, or systems administration
• OR equivalent experience.

Preferred Qualifications:

• 3+ years of people management experience

• 5+ years of experience planning, designing, implementing, and delivering large initiatives spanning multiple engineers as the primary owner, including operating and improving production services at scale

• Experience leading reliability engineering for developer-facing or platform services, including incident response, automation/toil reduction, and observability (metrics/logs/tracing) built on top of mature observability platforms and practices

• Experience working across disciplines, groups, and teams to align reliability priorities and delivery plans

• Experience architecting, deploying, and operating enterprise scale distributed cloud services (Azure preferred), including containerization and orchestration

• Experience operating engineering systems outer loop processes (CI/CD, build, and release platforms) with reliability, safety, and governance practices

Site Reliability Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Our mission is to empower and protect customers by providing cutting-edge, real-time defense against cyber threats, including malware, ransomware, phishing, and tech scams, across 1B+ supported devices and environments. We are dedicated to securing files, networks, and URL resources, ensuring seamless and safe experiences across the spectrum of mobile devices, desktops, and browsers. Driven by insights from billions of data points from global telemetry calls and advanced machine learning models, we proactively identify and neutralize malicious campaigns before they target our users.

Responsibilities

We are on a mission to enable endpoint protection to every person and organization on the planet.  We are looking for an Principal Software Engineering Manager to help us nurture a world class engineering team and design and deliver services and tools to bring cutting-edge cyber security solutions to our enterprise customers to manage and protect devices against cyber threats. You will build bar-raising engineering solutions to accelerate modernization of hyper-cloud scale services. 

• Provide hands-on technical leadership: architecture, design, code reviews, development, quality assurance.
• Collaborate across partner teams in Microsoft.
• Lead and grow a team of high performing engineers.
• Mentor, coach, hire, retain and grow top talent.
• Foster a healthy and inclusive team environment. Embody Microsoft Culture and Values
• Taking part in code reviews, both as a reviewer and a reviewee, to ensure the quality of the software and promote best practices within the team.
• Ship high-quality, well-tested, secure, and maintainable code.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Qualifications

• • Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C, Java, JavaScript, Rust, or Python OR equivalent experience.

Preferred Qualifications:

• • 2+ years people management experience of a software team
• 6+ years working experience on large scale system architecture, design, development, testing and release of full product lifecycle.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We build core tools that have defined software engineering for years—VS Code, GitHub, Visual Studio, AI Foundry—and we are infusing AI deeply into all parts of this portfolio.

Within Core AI, the CloudMine team serves as the data backbone of Microsoft's engineering intelligence. Our mission is to make Microsoft’s engineering teams the most productive, secure, and agile in the industry by building the authoritative engineering data platform that powers decisions at scale. We mine, validate, and serve trusted datasets derived from engineering artifacts—pull requests, work items, build pipelines, security signals, AI telemetry, and more—used daily in shiproom operations, security and compliance enforcement, organization-wide productivity programs, and AI-powered insights across Windows, Azure, Microsoft 365, Xbox, and other major product lines. Our data directly shapes how Microsoft ships software.

Responsibilities

As a Senior Software Engineer on the CloudMine team, you will lead the design and delivery of critical data mining and data pipeline infrastructure. This is a data-centric role: you will build and operate large-scale data ingestion, transformation, and validation systems—not web UIs or front-end experiences. Your day-to-day responsibilities center on ensuring that massive volumes of engineering data are collected, processed, validated, and made available with high correctness and freshness.

You will architect and implement data pipelines in C# running on Azure, build automated data quality and validation frameworks, design schema evolution and lineage tracking, and integrate new engineering signal sources into the platform. You will set technical direction for your area, mentor other engineers, and drive cross-team alignment on data contracts and quality standards.

Success in this role requires deep expertise in data engineering and a passion for data correctness. You think in terms of data flows, schemas, validation rules, and pipeline reliability. You thrive in backend and data systems, care deeply about data quality at scale, and bring the judgment and autonomy expected of a senior engineer.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Demonstrated experience building and operating production data pipelines, ETL/ELT systems, or data processing frameworks at scale.

• Strong proficiency in C# or a comparable strongly-typed backend language, with the ability to write performant, maintainable data-processing code.

• Hands-on experience with data validation, data quality practices, or data governance (e.g., schema enforcement, anomaly detection, correctness monitoring).

• Experience with Azure data and cloud services (e.g., Azure Data Lake, Azure Data Explorer/Kusto, Cosmos DB, Event Hubs, Azure Storage, or similar).

• Track record of operating production systems: monitoring, incident response, performance analysis, and driving reliability improvements.

• Experience with Microsoft-internal big data systems (e.g., Cosmos/SCOPE, Azure Data Explorer/Kusto) or equivalent large-scale analytics platforms.

• Deep familiarity with data pipeline patterns: idempotency, backfill, schema evolution, data lineage, and late-arriving data handling.

• Experience building data quality frameworks with automated validation, data profiling, and regression detection.