Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Video Systems, HW Architecture

General

Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Video Engineer, you will work on ideas that enhance our daily life – creating everlasting video memories and playback experiences, building innovative devices through human and computer vision technologies in the Mobile, Automotive, XR, IoT & Compute space. You will have limitless opportunities to learn, grow, and lead the world of Video and Computer vision.

Preferred

Qualifications

• Master's degree in Computer or Electrical Engineering, Computer Science, or related field.

• 1+ year of applicable video HW and/or Systems experience.

• 1+ year of experience with hardware system design, system integration, schematic capture, and circuit simulation software.

• 1+ year of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.

• 1+ year of experience working in a large matrixed organization.

Principal Duties and

Responsibilities

• Applies Video and Computer Vision Engineering knowledge to assist in the research and development of video codec and computer vision HW.

• Assists in the design, development, implementation, and verification of video systems and HW and FW tasks including Video Encoder, Video Decoder, Computer Vision, Video Quality and Features.

• Performs architecture, standard study, algorithm, and feature decomposition for hardware development.

• Assists in ensuring KPIs, systems performance, and area and power metrics are met.

• Triages problems to determine root causes and provides recommendations to fix and/or improve.

• Collaborates with team members and customers to analyze customer product requirements for new architecture and existing designs for all addressable markets including mobile, automotive, IoT, and others.

• Contributes to a specific video subsystem and develops basic features and components in line with product proposals or roadmaps.

• Writes detailed technical documentation and feature descriptions for projects.

Minimum

Qualifications

• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$99,400.00 - $149,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation AI experiences and drive agentic transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge tools and solutions to enable state-of-the-art AI solutions across various technology verticals.

In this position you will be responsible for the software design and development of a Pipeline AI for preparing and executing AI models on Qualcomm products for Mobile, Compute, Automotive, IOT, and XR products. You will participate in the agentic transformation of Qualcomm’s development and tooling workflows.  You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

This role is open in both San Diego, CA and Raleigh, NC.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• Design, develop, and maintain Python-based pipeline tooling that supports AI model ingestion, transformation, quantization, execution, and validation.
• Collaborate with cross-functional teams within the AI Software team and across AI Research and Qualcomm Business Units.
• Validate and optimize the performance and correctness of pipeline software through detailed analysis and testing of machine learning use cases.
• Develop a deep knowledge of AI model tools and workflows. Participate in design and code reviews.
• Debug complex issues, perform root cause analysis, and ensure high system reliability.
• Contribute to the team's adoption of agentic AI workflows — leveraging tools such as Claude code — to build skills, automate and improve development, testing, and pipeline orchestration activities.  The future is agentic!
• Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.

Minimum Qualifications

• Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
• 4+ years software development experience using Python and/or C/C++
• Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
• Strong communication skills (verbal, presentation, written)
• Foundational knowledge of Machine Learning and Deep Learning
• Experience working with one of the Deep Learning frameworks like PyTorch, TensorFlow, ONNX, JAX
• Strong desire to learn, contribute and collaborate!

Preferred Qualifications

• 2+ years Python programming experience building production-quality tooling or pipelines
• Experience with CI/CD systems and pipeline orchestration tools (e.g. GitHub Actions, Jenkins, Airflow)
• Familiarity with GenAI model architectures – LLM, LVM, LMM
• Experience with optimizing software, specifically AI graph workloads, for embedded platforms
• Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate code development
• Ability to collaborate across a globally diverse team and multiple interests

Education Requirements

• Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• Preferred: Master's in Computer Science or Computer Engineering

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$140,800.00 - $211,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.

In this position you will be responsible for contributing to the software design and development of the Qualcomm AI Runtime (QAIRT) delegate for both the ExecuTorch, ONNX Runtime and LiteRT frameworks enabling efficient AI inference on edge devices. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.  You will participate in the agentic transformation of Qualcomm’s development and tooling workflow.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

This role is open in both San Diego, CA and Raleigh, NC.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• Design and develop the graph compilation stack that lowers the ExecuTorch Edge IR, ONNX and LiteRT graphs to QAIRT APIs.
• Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
• Validate and optimize the performance and accuracy of software through detailed analysis and testing of machine learning use cases.
• Debug complex issues, perform root cause analysis, and ensure high system reliability.
• Participate in the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to help automate testing, benchmarking, and development activities.
• Participate in design and code reviews.

Minimum Qualifications

• Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
• 2+ years software development experience using C/C++/Python
• Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
• Strong communication skills (verbal, presentation, written)
• Foundational knowledge of Machine Learning and Deep Learning
• Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX

Preferred Qualifications

• 1+ years Python programming experience
• Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Experience with Graph Compilation technologies, like MLIR, a plus
• Familiarity with ExecuTorch, TorchAO, and other related technologies in the PyTorch ecosystem
• Familiarity with TfLite, LiteRT, TF, and other related technologies in the TF ecosystem
• Familiarity with GenAI model architectures – LLM, LVM, LMM
• Experience with optimizing software, specifically AI graph workloads, for embedded platforms
• Interest in or exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
• Ability to collaborate across a globally diverse team and multiple interests

Education Requirements

• Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• Preferred: Master's in Computer Science or Computer Engineering

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$122,800.00 - $184,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As an AI Software Tools Software Engineer, you will develop, implement, and optimize cutting-edge machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art solutions across a broad set of technology verticals and designs.

In this role, you will be responsible for designing, developing, and optimizing features for the Qualcomm AI Stack, SDKs, and associated tools, including delegate support for ONNX Runtime, Executorch, and TFLite/LiteRT frameworks. You will target the optimization and acceleration of AI models on Qualcomm Snapdragon platforms and AI accelerators, contributing to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. Depending on level, you may assist or lead feature development, research and recommend leading technologies, and provide guidance to junior team members. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities

• Design, develop, and optimize features for the Qualcomm AI Stack SDKs and tools to support execution of the latest neural networks on Snapdragon platforms.

• Design, develop, and optimize features for ONNX Runtime Execution Provider, ExecuTorch Edge IR graph lowering stack, and LiteRT delegates.

• Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.

• Debug complex issues, perform root cause analysis, and ensure high system reliability.

• Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.

• Lead or assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.

• Research and recommend leading technologies related to the PyTorch and ONNX ecosystems, model architectures, graph lowering and optimization techniques, and quantization methods.

• Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.

• Participate in design and code reviews.

• Work independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.

Minimum Qualifications (Must Have)

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.

• 2+ years (Senior) / 5+ years (Staff) of software development experience with Python and C/C++.

• Strong software development skills (e.g., data structure and algorithm design, object-oriented or other software design paradigms, software debugging and testing).

• Experience in using and developing AI solutions in one or more of these frameworks: Tensorflow, JAX, TFLite, LiteRT, PyTorch, ExecuTorch, ONNX Runtime.

• Foundational knowledge of Machine Learning and Deep Learning.

• Strong communication skills (verbal, presentation, written).

Preferred Qualifications (Desired)

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.

• 1+ years (Senior) / 2+ years (Staff) building commercial software products.

• Experience with Executorch, TorchAO, and other related technologies in the PyTorch ecosystem.

• Experience with AI optimization frameworks (e.g., Olive, ONNX optimizer, TVM, Optimum).

• Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, MoE, LVM, LMM, and other modern AI network architectures.

• Experience with different quantization techniques (PTQ, QAT, AWQ, SpinQuant, etc.).

• Understanding of linear algebra as used in ML graph processing.

• Experience with optimizing software, specifically AI graph workloads, for embedded platforms.

• Experience processing different ML graph formats like ONNX, TorchScript, and MLIR.

• Experience with low-level interactions between operating systems (Linux, Android, QNX, Windows) and hardware.

• Linux software development experience.

• Experience using/integrating Qualcomm AI Stack products (e.g., QNN, SNPE, QAIRT).

• Experience with agile software development practices and git-based SCM.

• Ability to collaborate across a globally diverse team and multiple interests.

“Annual base pay range: $140,800 – $237,600 (USD).”

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$158,400.00 - $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > Data Science

General Summary:

The Staff Analytics Engineer (AI & Predictive) is a senior, hands‑on individual contributor responsible for designing, building, and operationalizing predictive analytics, traditional machine learning models, agentic AI systems, and Databricks‑native data applications that drive real business outcomes. This role operates at the intersection of data science, ML engineering, and full‑stack data application development, with a strong focus on production‑grade solutions.

This position requires deep expertise in classical ML techniques, agent‑based AI workflows, and Databricks application development, along with strong ownership of end‑to‑end delivery—from data preparation and modeling to deployment, monitoring, and user‑facing experiences.

This role requires full-time onsite work in San Diego, CA (5 days per week).

**This position is not eligible for Qualcomm immigration sponsorship.**

Key Responsibilities

Traditional Machine Learning & Analytics

• Design, develop, and deploy traditional machine learning models, including regression, classification, clustering, time‑series forecasting, and anomaly detection.
• Perform feature engineering, model selection, training, validation, and performance tuning on large‑scale enterprise datasets.
• Apply sound statistical and ML best practices to ensure model robustness, explainability, and business relevance.

Agentic AI & Intelligent Automation

• Design and implement agentic AI workflows, where autonomous or semi‑autonomous agents orchestrate data access, ML inference, decision logic, and actions.
• Build multi‑step agent pipelines that combine rules, ML models, and reasoning components to solve complex business problems.
• Integrate agentic systems with enterprise data, ML models, and applications to enable intelligent automation and decision support.

Databricks Application Development

• Design and develop Databricks‑native applications, including notebook‑based apps, interactive dashboards, and parameterized data/ML workflows.
• Build data and ML services/APIs leveraging Databricks, Python, and Lakehouse capabilities.
• Partner with analytics, BI, and application teams to embed ML insights, predictions, and agent outputs directly into Databricks apps and business workflows.
• Ensure Databricks apps meet performance, security, governance, and usability standards.

ML Engineering & Productionization

• Operationalize ML models and agentic workflows into production pipelines, ensuring scalability, reliability, and monitoring.
• Collaborate with data engineering teams to leverage curated Lakehouse data, feature stores, and governed datasets.
• Implement model monitoring, drift detection, and retraining strategies to maintain long‑term model effectiveness.

Full‑Stack Data Enablement

• Develop end‑to‑end solutions that span data ingestion, modeling, ML inference, agent execution, and user‑facing applications.
• Translate business and analytical requirements into scalable, maintainable ML‑powered data products.
• Enable downstream consumption through Databricks apps, dashboards, APIs, and integrated enterprise applications.

Production Support & Operational Excellence

• Own production ML models, agentic systems, and Databricks applications, including monitoring, troubleshooting, and root‑cause analysis.
• Implement logging, alerting, and observability for models, agents, and applications.
• Drive continuous improvements in model accuracy, system reliability, and user experience.

Technical Leadership & Influence

• Serve as a technical authority in traditional ML, agentic AI, and Databricks application patterns.
• Influence architectural decisions, best practices, and technical standards across teams.
• Mentor peers and raise the bar on ML rigor, engineering quality, and production readiness.

Qualifications

Required Skills & Experience

• 5+ years of hands‑on experience in data science, applied machine learning, or ML engineering, with ownership of production systems.
• Strong proficiency in Python for ML development, data processing, and application logic.
• Deep experience with traditional ML techniques (e.g., regression, classification, clustering, time series).
• Proven experience building and deploying ML models in production environments.
• Hands‑on experience with Databricks, including Databricks application development (notebooks, workflows, dashboards, ML pipelines).
• Strong understanding of feature engineering, model evaluation, and explainability.
• Experience collaborating with data engineering, BI, and application teams.

Preferred / Nice‑to‑Have Qualifications

• Experience designing and implementing agentic AI systems or autonomous decision‑making workflows.
• Familiarity with Lakehouse architectures, feature stores, and ML lifecycle management.
• Experience with ML Ops practices, CI/CD, model monitoring, and retraining pipelines.
• Exposure to cloud platforms (e.g., AWS) and scalable ML infrastructure.
• Experience embedding ML and agent outputs into enterprise applications or analytics platforms.
• Knowledge of data governance, access controls, and secure ML deployment.

What Defines Success at the Staff Level

• Independently delivers high‑impact ML models, agentic AI workflows, and Databricks applications.
• Bridges data science, ML engineering, and full‑stack data app development.
• Influences architecture, standards, and technical direction beyond assigned projects.
• Acts as a trusted technical partner to business, analytics, and engineering stakeholders.
• Raises organizational maturity in traditional ML, agentic AI adoption, and production ML practices.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$142,100.00 - $213,100.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > IT Engineering

General Summary:

Technical lead will play a critical role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the building out of a modern enterprise-wide lake house with scalable, reliable and business intuitive data architecture for supporting self-service capabilities across Data & Analytics solutions.

This role requires full-time onsite work in San Diego, CA (5 days per week).

Minimum Qualifications:

• 8+ years of IT-related work experience with a Bachelor's degree.
OR
10+ years of IT-related work experience without a Bachelor’s degree.

Key Responsibilities:

Vision and Strategy: Define and lead the vision, strategy, roadmap for data solutions(Data warehouses, governance, data quality, application development, enterprise planning and observability etc.), aligning with business objectives and technological advancements to enable data solutions as the strategic enabler for AI

BI, Analytics & Self‑Service Enablement

• Establish and lead BI and Analytics Centers of Excellence (CoEs), enabling governed self‑service analytics through semantic layers, certified KPIs, dashboards, and reporting solutions.
• Partner with business stakeholders to drive analytics adoption, from ideation through production and scale, using modern cloud BI and AI‑augmented analytics tools.

Agentic AI & Intelligent Automation

• Design and implement agentic AI workflows, where autonomous or semi‑autonomous agents orchestrate data access, ML inference, decision logic, and actions.
• Build multi‑step agent pipelines that combine rules, ML models, and reasoning components to solve complex business problems.
• Integrate agentic systems with enterprise data, ML models, and applications to enable intelligent automation and decision support.

Databricks Application Development

• Design and develop Databricks‑native applications, including notebook‑based apps, interactive dashboards, and parameterized data/ML workflows.
• Enable data products, APIs, and integration patterns that support operational and analytical use cases across the enterprise
• Ensure Databricks apps meet performance, security, governance, and usability standards.

Traditional Machine Learning & Analytics

• Design, develop, and deploy traditional machine learning models, including regression, classification, clustering, time‑series forecasting, and anomaly detection.
• Perform feature engineering, model selection, training, validation, and performance tuning on large‑scale enterprise datasets.
• Apply sound statistical and ML best practices to ensure model robustness, explainability, and business relevance.

Governance & Security: Enforce data governance policies, access controls, and compliance using tools like Unity Catalog or AWS Lake Formation.

Technical Leadership & Influence

• Serve as a technical authority in traditional ML, agentic AI, and Databricks application patterns.
• Influence architectural decisions, best practices, and technical standards across teams.
• Mentor peers and raise the bar on ML rigor, engineering quality, and production readiness.

Stakeholder Collaboration: Serve as the primary liaison between business units and technical teams to translate business requirements into technical roadmaps.

Preferred Qualifications:

• 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree.
• 7+ years of enterprise data modelling experience.
• 3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms.
• Strong functional knowledge across Sales, Marketing, Customer Support, Supply Chain, Finance and other corporate functions
• Deep hands-on technical understanding in building complex data models for supporting various analytics needs
• Comfortable in working with cross-functional teams such as Data Engineering, Analytics, SMEs and Business stakeholders - Passion to understand complex existing footprint of data solutions and build out the strategy for migrating to Databricks medallion architecture - Accountability and Ownership of the delivery in driving the projects to completion

Qualifications:

• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field OR 9+ years of IT-related work experience without a Bachelor’s degree.
• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• 12+ years of experience in data management, data engineering, or data science roles, with at least 7 years in building enterprise level data models as part of data modernization and DW migration efforts.
• Strong understanding and hands-on experience with Lakehouse medallion data architecture and governance
• Proven implementation experience with migrating legacy DW data models to 3-layer medallion architecture.
• Strong passion in exploring GenAI based solutions for documenting the existing DW footprint and build out strategic data model for Databricks platform
• Experience with machine learning, artificial intelligence, and predictive analytics is a plus.
• Excellent leadership, communication, and collaboration skills in a global hybrid delivery model
• Strong problem-solving skills with strategic thought process and self-initiative and proactive soft skills

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$168,400.00 - $252,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > IT Data Engineer

General Summary:

We are seeking a Senior Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation.

In this role, you will focus on building reusable data frameworks, shared platform components, and standardized pipelines that enable teams to deliver data products efficiently and consistently. Your work will support analytics, reporting, and downstream advanced use cases (including AI and machine learning), with a strong emphasis on reliability, governance, developer productivity, and intelligent automation.

This is a hands-on role with meaningful ownership across data engineering, framework development, AI‑driven automation, platform reliability, security, and cost management, while contributing to architectural decisions and data standards.

This role is full-time onsite (5 days per week) and can be based in San Diego, CA or Boulder, CO.

**This position is not eligible for Qualcomm immigration sponsorship.**

Minimum Qualifications:

• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
9+ years of IT-related work experience without a Bachelor’s degree.

• 5+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.

What You’ll Do

Data Engineering, Frameworks & AI‑Driven Automation

• Design, build, and maintain scalable batch and streaming data pipelines
• Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing
• Establish standardized patterns for data modeling, transformations, and pipeline orchestration
• Implement end-to-end data workflows from raw ingestion to curated analytical datasets

• Leverage AI‑based techniques to automate and optimize data engineering workflows, such as:

• Intelligent schema inference and evolution

• Automated data quality checks and anomaly detection
• Pipeline failure detection and self-healing mechanisms
• Experience building AI‑assisted or intelligent automation for:
• Data quality monitoring
• Pipeline observability
• Cost or performance optimization
• Ensure data quality, reliability, and performance across pipelines and shared frameworks
• Support downstream consumers such as analytics, reporting, and AI/ML teams

Reliability, Operations & Intelligent Automation

• Define and monitor SLIs/SLOs for data pipelines, frameworks, and platform availability
• Participate in incident response, on-call rotations, and post-incident reviews
• Apply AI‑assisted monitoring and alerting to proactively detect performance issues, data drift, and operational anomalies
• Implement security, compliance, and data governance controls across shared data assets
• Drive performance tuning and cost optimization, including automated recommendations for resource utilization and workload optimization

Collaboration & Technical Leadership

• Partner with analytics, application, and platform teams to understand common data needs and platform gaps
• Drive adoption of standardized data frameworks, automation patterns, and best practices across teams
• Contribute to data architecture decisions, platform standards, and design guidelines
• Mentor junior engineers and provide technical guidance, including best practices for automating data workflows

Required Qualifications

Data Engineering, Frameworks & System Design

• 8+ years of experience building and operating data platforms or distributed data systems
• Proven experience designing and building reusable data engineering frameworks, libraries, or platform components
• Strong experience designing scalable, reliable data pipelines using standardized patterns
• Solid understanding of data modeling, storage formats, schema evolution, and query performance
• Experience implementing automation in data pipelines, including rule‑based or AI‑assisted approaches
• Ability to reason about architectural trade-offs across scalability, cost, reliability, and security

Cloud & Data Platform Experience

• Strong hands-on experience with AWS, including IAM, networking, and multi-account setups

• Proven experience with Databricks Lakehouse, including:

• Delta Lake

• Unity Catalog
• Strong proficiency in Python for framework development, data processing, and automation
• Experience building data platforms that support multiple consumers and automated workflows

Security & Communication

• Understanding of cloud security best practices and data governance
• Experience working in regulated or compliance-driven environments
• Strong communication skills and the ability to drive adoption of shared frameworks and automation patterns across teams

Nice-to-Have

• Experience building internal data platforms or enablement frameworks
• Experience supporting AI/ML teams as platform consumers (without owning models)
• Experience with data observability and monitoring tools
• Experience with enterprise ingestion tools (e.g., Fivetran, HVR)
• Experience with data lineage or metadata management
• Familiarity with secret management tools (Vault or similar)
• Experience optimizing Databricks performance and cost
• Experience working with globally distributed teams

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$158,400.00 - $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Modem Technologies Software

General Summary:

We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.

The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.

Key Responsibilities:

• Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
• Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
• Create robust evaluation frameworks for measuring and improving model performance
• Build and maintain agentic workflows for autonomous AI systems
• Collaborate with cross-functional teams to identify opportunities and implement AI solutions

Minimum Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Electrical Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, or related technical field
• 3+ years of experience in Machine Learning/AI engineering
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Practical experience with LLM deployments and fine-tuning
• Experience with vector databases and embedding models
• Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
• Strong understanding of RAG architectures and implementation

Preferred Qualifications:

• Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
• Knowledge of prompt engineering and chain-of-thought techniques
• Experience with containerization and microservices architecture
• Background in Reinforcement Learning
• Contributions to open-source AI projects
• Experience with ML ops and model deployment pipelines

Skills and Competencies:

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Experience with agile development methodologies
• Ability to balance multiple projects and priorities
• Strong focus on code quality and best practices
• Understanding of AI ethics and responsible AI development

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$128,000.00 - $192,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Technologies, Inc.

Job Area:

Information Technology Group, Information Technology Group > Data Science

General Summary:

**This position is not eligible for Qualcomm immigration sponsorship.**

We care deeply about transforming lives with Qualcomm technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences — the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems. Underpinning our mission is the Qualcomm culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

At Qualcomm: Together, we advance.

About the Role:

We are looking for a visionary data scientist to lead the transformation of finance and accounting operations through intelligent automation. This role combines deep technical expertise with systems acumen to simplify processes, reduce manual effort, and accelerate AI adoption across the organization.

You will design and deploy AI-enabled solutions, including AI agents and Model Context Protocol (MCP), that automate workflows and empower teams through self-service tools, training and extensive change management within the Finance and Accounting team. You will optimize the team’s usage of various 3rd party systems including TM1, Oracle, n8n, etc.

This role requires full-time onsite presence in San Diego.

Key Responsibilities:

• Partner with the finance and accounting team to understand workflows, pain points and control requirements.
• Translate business needs into technical solutions that simplify and streamline operations.
• Design, build, and deploy AI/ML business solutions (including LLMs and AI agents) and automation workflows using n8n or similar tools for use cases such as accounting close processes, forecasting and data analysis.
• Ensure all AI and automation solutions align with compliance standards, SOX controls, data governance, and audit requirements.
• Drive AI and automation adoption by developing training programs, documentation, and best practices for Finance stakeholders.
• Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making on AI use cases, solution approaches, and tool selection.
• Collaborate with IT and Operations to integrate enterprise AI solutions into existing systems and processes.
• Apply advanced analytical and AI techniques to interpret and analyze large, complex datasets from multiple systems to identify patterns, trends, and insights.
• Improve data quality and consistency through validation rules and analytics-driven checks
• Build dashboards and reports using Tableau, Power BI or similar tools to visualize insights and measure automation impact.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
• 1+ year of Data Science or related work experience.

*Completed advanced degree in a relevant field may be substituted for up to one year (Master’s = one year) of work experience.

Preferred Qualifications:

• Bachelor’s or Master’s degree (MS strongly preferred) in Computer Science, AI/ML, Applied Mathematics, or related field.
• 2+ years of experience building and deploying AI/ML models in enterprise environments; experience supporting Finance and Accounting teams with AI or automation initiatives is strongly preferred.
• Supportive of an inclusive, knowledge-sharing, and team-focused culture.
• Experience working within large global matrix organizations.
• Experience with ERP systems (e.g., Oracle, SAP) and financial data structures.
• Proficiency in Python and SQL, with experience using enterprise data platforms (e.g., Databricks/Spark) for large‑scale data processing and analytics.
• Experience building AI automation and workflow solutions using n8n or similar tools.
• Deep understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP).
• Strong business acumen in Finance and Accounting with the ability to map technical solutions to operational goals.
• Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization.
• Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
• Detail‑oriented with strong time‑management skills and the ability to manage priorities in a fast‑paced environment.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$46.30 - $69.46

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

Company:

Qualcomm Incorporated

Job Area:

Information Technology Group, Information Technology Group > IT Architect

General Summary:

Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Our leading-edge AI, high-performance & low-power computing, and unrivaled connectivity deliver proven solutions that drive transformation across major industries. Building on nearly 40 years of leadership in wireless innovation, we bring data processing and intelligence to the edge—powering experiences across mobile, automotive, IoT, and next-generation PC and XR devices.

Come join the Engineering & Infrastructure Services (EIS) team at Qualcomm! We play a critical role in enabling the business to grow and expand into new product areas. Our work ensures Qualcomm engineers and business functions operate on leading public and private cloud infrastructure (servers, storage, networking), and leverage best-in-class collaboration tools, engineering applications, and end user devices.

This role will be part of the Mergers & Acquisitions (M&A) / Integration capability within Engineering & Infrastructure Services (EIS). The M&A Architect is a critical and trusted technical leader who partners closely with M&A program/project managers, IT domain owners, security, and the acquired company’s technical stakeholders to assess current-state environments, define integration architecture, and drive execution of Day 1 and post-close integration outcomes.

**Position requires to be in San Diego, full time 5 days a week

**This position is not eligible for Qualcomm immigration sponsorship.**

Key Responsibilities

• Lead technical due diligence and integration discovery for acquisitions, including current-state assessment of infrastructure, identity, endpoint management, collaboration, network connectivity, engineering applications, and hosting/cloud services.
• Develop a high-level integration architecture and roadmap (Day 1, Day 2+, and long-term target state) aligned to Qualcomm standards, security controls, and operational models.
• Define integration patterns, principles, and decision records; identify key architectural tradeoffs and obtain alignment from IT domain owners and deal stakeholders.
• Partner with the M&A project/program manager to build the plan of record, sequence technical workstreams, and ensure dependencies, risks, and assumptions are captured and actively managed.
• Serve as the primary technical point of contact (“one hand to shake”) for EIS scope during the transaction, coordinating SMEs across compute, storage, network, security, end user services, cloud, and engineering applications.
• Drive technical readiness for Close/Day 1, including connectivity, device and access onboarding, identity & email enablement, and hypercare stabilization plans.
• Ensure integration solutions meet audit/compliance requirements and follow separation-of-concerns guidance during pre-close planning (e.g., clean team/need-to-know practices as applicable).
• Produce high-quality architecture deliverables (diagrams, standards alignment, migration approach, cutover plans) and present to executive and technical audiences.
• Identify opportunities to standardize and improve repeatable integration playbooks, templates, and automation across deals.

Required Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or related field (or equivalent practical experience).
• 4+ years of experience in infrastructure, enterprise architecture, M&A integrations, or solutions architecture roles, including hands-on delivery.
• Demonstrated experience leading cross-functional technical initiatives in complex enterprise environments with multiple stakeholders and tight timelines.
• Strong working knowledge of core infrastructure domains: networking (WAN/LAN/VPN), compute/virtualization, storage/backup, endpoint management, and collaboration platforms.
• Ability to translate ambiguous business objectives into clear technical scope, architecture decisions, and executable plans.
• Strong verbal and written communication skills, including executive-level status and architecture readouts.
• Willingness to take ownership of issues and ensure all interested parties are kept informed of progress in order to deliver solutions.

Preferred Qualifications

• Experience supporting mergers & acquisitions, carve-outs, or large-scale enterprise integrations (pre-close planning through post-close execution).
• Cloud architecture experience across public and private cloud environments.
• Knowledge of modern workplace / end user computing platforms (e.g., device provisioning, EDR, MDM, software distribution, identity).
• Familiarity with enterprise security and compliance practices (e.g., segmentation, data protection, risk assessments, audit readiness).
• Project/program leadership experience; PMP or similar certification is a plus.
• People management and IT capability management is also a plus.

Additional Information

• Work style: fast-paced, high-ownership environment requiring comfort with occasional ambiguity and shifting priorities.
• Collaboration: frequent coordination across IT domains, Corporate Development/IMO stakeholders, and target-company technical teams.
• Travel: may be required based on deal needs (e.g., Day 1 onsite support), as appropriate.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$124,000.00 - $186,000.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.