Become a part of our caring community

At Humana, we are redefining what it means to allow productivity and efficiency for our community of developers, engineers, and partners. The Engineering & AI Enablement organization brings together top talent and new practices to build AI-powered IT productivity solutions that empower our enterprise. As a principal, within Humana's AI Enablement team, you will be the senior technical leader for platform engineering, AI enablement, and enterprise software delivery projects. Reporting to the Director, AI Enablement, you will guide strategy and architecture. You will focus on AI developer tools and products, playing an important role in advancing Humana's technology ecosystem. This ecosystem will incorporate generative AI, automation, and agents.

Responsibilities

• Lead platform engineering efforts to ensure advanced AI developer tools and capabilities for Humana's enterprise engineering teams.
• Architect and lead end-to-end solutions that integrate AI, automation, and agents to support software delivery and productivity.
• Collaborate with partners including Leadership, Engineers, Product Owners, and partners to mature use cases, define technical requirements, and provide impactful solutions.
• Proficiency in .NET and Python; familiarity with front-end technologies (HTML, CSS, JavaScript, React or Angular).
• Deep experience with cloud infrastructure (Azure, AWS, GCP), APIs, containerization (Docker), orchestration (Kubernetes), and Infrastructure as Code (Terraform, Ansible, CloudFormation).
• Provide technical strategy and guidance for Enterprise AI Chatbot product development
• Mentor engineering staff, promoting a culture of innovation, inclusivity, and.
• Educate and help teams across Humana on latest AI technologies, best practices, and architectural patterns.
• Ensure in code quality, artifact management, and security for AI platforms and tools.
• Support rapid prototyping and strategic plans alongside product and engineering leads.

Use your skills to make an impact

Required Qualifications

• Minimum 10 years of hands-on software engineering experience, with at least 3 years in principal or architect-level roles delivering enterprise-scale AI and full stack solutions.
• Demonstrated expertise in designing and implementing platform engineering for developer tools, AI enablement, and complex software delivery pipelines.
• Experience with DevOps practices, CI/CD pipelines, and platforms such as Azure DevOps, GitHub, Artifactory, and SonarQube.
• Track record collaborating across multiple teams and responsibilities to bring AI solutions.
• Experience mentoring and developing engineering teams in Agile environments.

Preferred Qualifications

• Master's degree in computer science, engineering, or related discipline.
• Direct experience architecting and delivering AI-powered products and developer platforms.
• Hands-on expertise with prompt engineering, large language models, and latest AI trends.
• Familiarity with GitOps, rapid prototyping, and managing operational processes for large-scale internal customers.

Additional Information

This position follows a hybrid (remote + in office) work style and we require that one of our designated Tech Market locations - Louisville, KY; Dallas, TX; Washington, DC - performs it.

Report Information:

• Reports to Director, AI Enablement.
• Member of the AI Enablement function within Engineering & AI Enablement.

To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if approved by leadership.

Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$156,600 - $215,400 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About Us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​
Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community

Humana is seeking a Senior Full Stack Software Engineer - Information Marketplace team, responsible for building and enhancing the enterprise platform used to discover, understand, and access data across Humana’s information ecosystem.

The Senior Full Stack Engineer performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Information Marketplace is a strategic internal product that enables associates to locate trusted data, understand its meaning, and safely use it to support business, analytics, and AI initiatives. This role will contribute to the design and development of modern, scalable applications that integrate with data governance, metadata, and analytics platforms across the enterprise.

This position is ideal for a developer who enjoys working on complex systems, building full-stack applications, and helping shape the architecture of a platform used across the organization.

This is a Hybrid role - see onsite addresses at bottom of this posting

Chicago/Dallas-Frisco/DC/Ft. Lauderdale/Louisville/NY/TN

Working onsite is a requirement when needed

This role is not eligible for sponsorship

Key Responsibilities

• Support continuous improvement of the Information Marketplace as a core enterprise platform
• Design, develop, and maintain full-stack web applications supporting the Information Marketplace platform
• Build modern front-end interfaces using React, TypeScript, and state management frameworks
• Develop scalable backend services and APIs using Node.js and related technologies
• Translate business and technical requirements into well-designed, maintainable software solutions
• Contribute to the architecture of microservices, APIs, and UI frameworks with a focus on scalability, security, and performance
• Integrate with enterprise platforms including metadata services, APIs, and third-party tools
• Troubleshoot and resolve complex application issues, identifying root causes and implementing long-term fixes
• Optimize applications for performance, reliability, and usability
• Participate in code reviews and help establish development standards and best practices
• Collaborate with product owners, architects, data engineers, and governance teams to deliver new capabilities
• Contribute to DevOps practices including CI/CD pipelines, containerization, and automated testing
• Stay current with modern development frameworks, tools, and engineering practices

Use your skills to make an impact

Required Skills

• Node.js
• React.js
• TypeScript
• REST API development
• Git-based source control
• Experience building full-stack web applications

Preferred Skills

• Redux or modern state management frameworks
• Tailwind CSS or modern UI styling frameworks
• Sequelize ORM or similar data access frameworks
• Docker / containerization
• CI/CD pipelines (YAML-based or similar)
• Experience with microservices architectures
• Experience integrating with enterprise APIs or data platforms
• WebAssembly (WASM) or performance-focused web technologies

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or related field
• 5-8+ years of experience in application development or full-stack engineering
• Experience developing production web applications
• Strong problem-solving skills and ability to work independently
• Ability to collaborate in a cross-functional team environment
• Experience with cloud environments (Especially Azure)
• Experience working in Agile / Scrum teams
• This role is not eligible for work visa sponsorship

Preferred Qualifications

• Experience working on enterprise applications
• Experience building developer platforms, data platforms, or internal tools
• Master’s degree in computer science or related field

Hybrid Locations

Humana Waterside Building

101 East Main Street Louisville, KY 40202

Humana's Fort Lauderdale office, CU 103

221 SW 1st Ave, Fort Lauderdale, FL 33301

Humana Neighborhood Center

3031 Preston Road, Suite 120 Frisco, TX 75034

Humana's Nashville office

827 19th Ave S, Nashville, TN 37203

Humana Office 1700 Building, 34th floor

1700 Broadway, New York, NY 10019

Humana Canal Street Office - 3rd floor

111 N. Canal St. in Chicago, Illinois 60606

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
• Satellite, cellular and microwave connection can only be used if leadership approves it.
• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet our requirements for their position/job.
• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

R-412529

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$106,900 - $147,000 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About Us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​
Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community

Why Join Enterprise Observability Engineering?

The Enterprise Observability Engineering team is a high-impact, high-autonomy group focused on building intelligent, scalable, and resilient observability solutions. We foster a culture of innovation, agility, and ownership—empowering engineers to solve complex problems, drive strategic initiatives, and shape the future of how we monitor and operate distributed systems.

If you're passionate about building tools engineers love, solving unscoped challenges, and leading with technical excellence—this is the team for you.

About the Role

We’re looking for a Lead Software Engineer with deep expertise in logging and observability engineering. You should be fluent in the principles of open telemetry, log ingestion, and event correlation across distributed systems. While familiarity with platforms like Splunk or Dynatrace is a plus, we value platform-agnostic thinking and the ability to design resilient, scalable logging solutions using the best-fit tools for the environment.

As a Lead Software Engineer, you will drive the design, implementation, and evolution of our observability and logging platforms. You’ll lead enterprise-scale initiatives, mentor engineers, and collaborate across disciplines to ensure our systems are reliable, scalable, and performant. Applying deep technical expertise to solve real-world challenges. You’ll work closely with SRE, Security, Networking, Platform Engineering, and Data Science teams to evolve our observability strategy using AI/ML and cloud-native technologies.

Key Responsibilities

· Architect and optimize observability environments through software engineering best practices.

· Build automation scripts and tools to streamline observability instrumentation and deployment.

· Integrate observability into CI/CD pipelines using infrastructure-as-code (IaC) and configuration management tools.

· Conduct observability code reviews and implement automated validation checks.

· Build AI-native tools for autonomous issue detection and resolution.

· Lead the design of distributed systems focused on reliability, scalability, and performance.

· Manage data routing, transformation, and endpoint monitoring integrations.

· Mentor junior engineers and foster a culture of continuous improvement.

· Collaborate across teams to align observability strategies with business goals.

· Communicate technical insights and recommendations to leadership.

Use your skills to make an impact

Required Qualifications

• Associate degree in Computer Science, Engineering, or related field.
• 7+ years in software/infrastructure engineering with observability/logging focus.
• Strong foundation in operating systems, networking, algorithms, and distributed systems.
• Expertise in:

o Programming (eg. Python, .Net, Java, Go, Node.js)

o System architecture and AI Ops

o CI/CD (eg. GitHub Actions, Azure DevOps)

o Infrastructure as Code (eg. Terraform, Ansible)

o Cloud-native development (eg. Azure, AWS, GCP)

o API design (eg. REST, gRPC)

• Proven leadership and mentoring experience.
• Agile delivery experience and strategic thinking around observability maturity.

Preferred Qualifications

• 5+ years with a technical bachelor’s degree
• Open telemetry
• Experience with Splunk Enterprise & ES (SPL, dashboards, correlation searches, data models)
• Scaled and complex Data onboarding (HEC, UF, TA development)
• Integration with SNOW, SOAR, ITSM/SecOps tools
• Experience with Dynatrace, Cribl, Grafana
• Monitoring and alerting strategy design
• Budget management and cost optimization
• Automation and continuous delivery practices
• Leading cross-functional programs across technologies
• Certified Splunk Admin and Advanced Power User

Additional Information

Work-At-Home Requirements

All Humana associates approved for the Home or Hybrid Home/Office work styles are required to self-provide wireless, wired cable or DSL access to the internet at the connectivity speeds required by the company to successfully perform their job with the exception of associates who live or work from home in the state of California, Illinois, Montana, or South Dakota. Connectivity requirements are detailed below.

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended to support Humana applications, per associate.

Wireless, Wired Cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if they provide an optimal connection for associates. The use of these methods must be approved by leadership.  (See Wireless, Wired Cable or DSL Connection in Exceptions, Section 7.0 in this policy.)

Humana will not pay for or reimburse Home or Hybrid Home/Office associates for any portion of the cost of their self-provided internet service, with the exception of associates who live or work from Home in the state of California, Illinois, Montana, or South Dakota.  Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

Interview Format:
As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

*This is a remote position

**Must be able to work EST.

LI-Remote

LI-CB2

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$129,300 - $177,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 04-30-2026

About us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​
Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community

(Candidate should be located in one of the following Metro locations: Louisville KY, NYC Metro, Dallas Metro, Charlotte NC Metro, South Florida, Washington DC metro, Chicago, Boston, Atlanta, Nashville).
Humana is seeking a Senior CyberSecurity Engineer with specialized expertise in HashiCorp Vault administration. The ideal candidate will be responsible for the integration, configuration, and management of Vault in enterprise cloud environments, supporting secure secrets management and access control across multiple platforms. This role requires strong experience in both Google Cloud Platform (GCP) and Microsoft Azure, with the ability to navigate complex, multi-cloud environments and support automated deployment and operational processes. The engineer will ensure alignment with internal standards and compliance requirements, collaborating with teams to deliver secure, scalable solutions.

Key Responsibilities

• Administer, configure, and maintain HashiCorp Vault for secure secrets management across Azure and Google Cloud Platform (GCP) environments.
• Integrate Vault with enterprise cloud workloads, ensuring robust access control and compliance with Humana's security standards.
• Develop and implement automation scripts and tools to support infrastructure management and operational efficiency, using PowerShell, Python, Ruby, or Bash.
• Support installation, configuration, and maintenance of cloud-based servers and services, ensuring reliability and scalability in multi-cloud settings.
• Collaborate with cross-functional teams to design and enhance secure cloud architectures, contributing to continuous improvement initiatives.
• Monitor, identify, and remediate cybersecurity issues and opportunities, in alignment with Humana's IT/Cyber IOP policies
• Ensure accurate documentation and compliance for technology lifecycle management, including decommission requests as required
• Provide regular updates, evidence of remediation, and participate in closure reviews of IT/Cyber IOPs.

Use your skills to make an impact

Required Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent years of experience.
• Strong technical knowledge of Microsoft Azure and Google Cloud Platform services.
• Minimum three years of hands-on experience administering HashiCorp Vault in enterprise cloud environments.
• Experience installing, configuring, deploying, and maintaining cloud-based servers and services.
• Proficiency in automation and scripting with at least one of the following: PowerShell, Python, Ruby, Bash.
• Excellent verbal and written communication skills.
• Agile and solutions-oriented mindset.

Preferred Skills

• Experience architecting, building, and supporting Azure and GCP solutions in enterprise environments.
• Working knowledge of Terraform, GitHub Workflows, and Kubernetes.
• Familiarity with Humana's compliance standards, including IT/Cyber IOP processes and Technology Lifecycle Management (TLM).
• Ability to proactively identify and resolve security gaps and support operational excellence in multi-cloud deployments.
• Experience collaborating on cross-functional security and cloud projects.

Remote/WAH requirements:

• WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
• Satellite and Wireless Internet service is NOT allowed for this role.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$117,600 - $161,700 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 04-29-2026

About us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​
Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community

As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You’ll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring.

• Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
• Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
• Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
• Assist our data science team in the development and deployment of traditional machine learning models.
• Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
• Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
• Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.

**This is a HYBRID office position requiring an in-office presence 3 days/wk in one of the following locations: Dallas, TX, Tampa, FL, Washington DC, Boston, MA, NYC, New York, or Louisville, KY.

You must reside within commutable distance or be willing to relocate to our offices located in these areas.

Use your skills to make an impact

Required Qualifications:

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
• 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
• 3+ years of experience with containerization (e.g., Docker, Kubernetes).
• 3+ years of experience with CI/CD tools, pipelines
• 3+ years of experience with PySpark.
• 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
• Experience working with Large Language Model (LLM) in application development

Highly Desired Qualifications:

• Master's Degree in a similar field with at least 5 years of relevant experience.
• Experience with version control systems (e.g., Git) and software development best practices.
• Excellent problem-solving skills and ability to work in a collaborative environment.
• Experience deploying software using tools like Docker and Kubernetes.
• Experience with deep learning techniques and frameworks.
• Experience working with any nosql DBs.
• Knowledge of natural language processing (NLP).
• Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$117,600 - $161,700 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About Us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​
Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The Role

Join our GPSC Insight Engineering team, responsible for ideating, incubating, and delivering new data solutions for global purchasing supply chain (GPSC) and our partners.

As a Senior Data Engineer, you will design, build, and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization, you will deliver high-quality, scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases, streaming technology, CI/CD, and cloud platforms.

This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative, scalable, and maintainable data-driven solutions—writing high-quality, tested, production-ready code that meets customer needs and scales without rework. You will work in a collaborative, cross-disciplinary environment, handle complex challenges, contribute to architectural discussions, and help shape solutions that improve performance, scalability, and maintainability, while also ensuring alignment with business priorities.

What You’ll Do

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
• Lead and deliver data-driven solutions across multiple languages, tools, and technologies.
• Contribute to architecture discussions, solution design, and strategic technology adoption.
• Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code.
• Design and develop new source system integrations from varied formats (files, database extracts, APIs).
• Design and implement solutions for delivering data that meets SLA requirements.
• Work with operations teams to resolve production issues related to the platform.
• Apply best practices such as Agile methodologies, design thinking, and continuous deployment.
• Develop tooling and automation to make deployments and production monitoring more repeatable.
• Collaborate with business and technology partners, providing leadership, best practices, and coaching.
• Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
• 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL)
• 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
• Proficiency in data streaming in Kubernetes and Kafka
• Experience with cloud platforms – Azure preferred; AWS or GCP also considered.
• Solid understanding of CI/CD principles and tools
• Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues.
• Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
• Proficiency with SQL, key-value datastores, and document stores
• Familiarity with data architecture and modeling concepts to support efficient data consumption
• Strong collaboration and communication skills; ability to work across multiple teams and disciplines.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master’s degree in Computer Science, Software Engineering, or related field
• Knowledge of data governance, metadata management, or data quality/observability
• Familiarity with schema design and data contracts
• Experience handling various file formats (video, audio, image)
• Experience with Databricks, Snowflake, or similar platforms
• Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems).

This job may be eligible for relocation benefits.

Compensation:

• The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

LI-CC1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The AV Pipelines & Lineage team at GM builds core infrastructure that supports the end-to-end AI lifecycle of ML pipelines—from local experimentation and large-scale training to evaluation, lineage tracking, and operational visibility. Our platforms span both backend systems and user-facing interfaces, enabling ML engineers and researchers to develop, understand, and evolve models efficiently across diverse environments.

The Role:

As a Senior AI/ML Engineer, you will focus on designing and implementing scalable ML infrastructure solutions. You will take ownership of key technical projects, provide mentorship to junior engineers, and collaborate across teams to solve complex problems. This is an individual contributor role emphasizing deep technical impact rather than leadership of large teams.

Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.

What you’ll do

• • Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.

• Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.

• Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.

• Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

.

Your Skills & Abilities (Required Qualifications)

• • 5+ years of experience, with a strong background in large-scale distributed systems preferred.

• 1+ years of experience leading and driving large-scale initiatives.

• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.

• Experience working with relational and NoSQL databases.

• Demonstrated ability to develop and maintain systems at scale.

• A Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.

• A passion for autonomous vehicle technology and its transformative potential.

• Strong attention to detail and a commitment to accuracy.

• A proven track record of efficiently solving complex problems.

• A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

What Will Give You a Competitive Edge (Preferred Qualifications)

• • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.

• Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.

• Experience with Kubernetes.

• Understanding of Machine Learning (ML) models/pipelines.

• Python/C++/Golang proficiency.

• Relevant publications

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $155,420 to $395,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

About the Team:

The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state-of-the-art (SOTA) machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high-impact, ML-centric use cases.

About the Role:

We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting-edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem-solving skills, and demonstrate a bias for action.

You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our AI Validation / Simulation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills, and a get-it-done attitude. This is a high-impact opportunity to influence the future of AI infrastructure at GM.

What you’ll be doing:

• Design and implement core platform backend software components.

• Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.

• Lead technical decision-making on Compute architecture, cloud capacity provisioning, caching, and auto-scaling mechanisms.

• Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization.

• Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques.

• Lead large-scale technical initiatives across GM’s ML infrastructure.

• Raise the engineering bar through technical leadership and by establishing best practices.

At a Minimum We'd Like You To Have

• 4+ years of industry experience, with a focus on high performance backend services.

• Strong expertise in Go, or other similar coding languages.

• Experience working with cloud platforms such as GCP, Azure, or AWS.

• Experience in delivering cross-functional initiatives.

• Strong communication skills and a proven ability to drive cross-functional initiatives.

• Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.

It's Preferred If You Have

• Hands-on experience with Cloud VM services Google Compute Engine.

• Experience with hardware-in-the-loop validation systems.

• Experience with high performance computing (HPC).

• Experience working with or designing interfaces and clients for developer workflows.

• Familiarity with telemetry, and other feedback loops to inform product improvements.

• Familiarity with hardware acceleration (GPUs) and optimizations.

Why Join Us?

If you’re excited to tackle some of today’s most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM—this is the team for you.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

The Role

We’re seeking a passionate and experienced Senior Performance Engineer in development to own Overall Performance of our systems and solution , leading optimization of software and systems to improve site speed, support scalability , reliability and stability , analyzing metrics based on access to different monitoring tools and working with the respective engineer development teams and architects to design and implement solutions to improve overall site and systems performance ( including but not limited to Web Sites, APIs , Database queries and definition of caching strategies) and lead execution of performance and load tests to validate results and prevent performance degradations.

You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be able to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture, applying best practices on Performance Engineering.

What You’ll Do

• Own the performance observability for production and lower environments, identifying and acting on concerning trends.
• Develop competency across our complete web technologies stack (client, framework, and services)
• Weigh architectural trade-offs and apply synchronous and asynchronous design patterns
• Monitor, assess and analyze the holistic performance of the application with benchmarking tools.
• Identify bottlenecks, lead root cause analysis, collaborate with developers, automate processes and ensure proper tools to ensure systems meet performance requirements from design to deployment
• Own and enhance performance coverage by consulting with developers to identify areas for improvement and expansion
• Investigate and diagnose performance issues to identify the root cause of the problems
• Clearly document performance results and share actionable insights with developers
• Develop datasets and workloads that accurately represent the Production environment
• Analyze the CPU utilization, Memory usage, Network Usage, Garbage collection and DB Reports to verify application performance
• Research and implement best practices, methodologies and tools for performance testing
• Explore and pitch product ideas and tech initiatives with cross functional teams
• Drive UI performance optimization and ensure cross-browser compatibility
• Stay current with emerging technologies and trends and evaluate their potential for adoption
• Mentor junior team members and contribute to team growth and development

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in computer science or related field
• 5+ years of experience in Performance engineering and scalability engineering for cloud-hosted applications.
• Strong proficiency with performance tools like K6, JMeter.
• Strong knowledge of monitoring and observability tools like Data dog, Grafana, Dynatrace.
• Strong proficiency in scripting languages (ex: Java, JavaScript, Python)
• Strong technical knowledge of virtualization, storage and networking.
• Proficiency in profiling all layers of the Technology stack (Software, OS, network) and optimizing complex applications
• Expertise knowledge in Cloud & Container Ecosystem (Azure, Docker, Kubernetes)

What Will Give You A Competitive Edge (Preferred Qualifications)

• Master’s degree in computer science or related field
• Hands-on experience with Chaos Engineering tools like Gremlin
• Hands-on experience with Caching layer performance tuning
• 5+ years of experience in performance engineering, with a proven track record of optimizing system performance across complex environments.
• Excellent communication and collaboration skills, with the ability to work effectively with developers, product managers, and business stakeholders.
• Deep expertise in database performance tuning, with a focus on optimizing complex SQL queries.
• Strong analytical skills for identifying root causes of performance issues and resolving code-level bottlenecks.
• Hands-on experience with observability and monitoring tools; proficiency with Datadog is highly preferred.
• Proficient in a variety of industry-standard performance testing tools such as K6, NeoLoad, BlazeMeter, and LoadRunner.

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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

The Role

In this role, Senior Hardware Design Engineer – Low Voltage Electric Power, you will be responsible for Hardware Design & Execution for any variety of components in the electric power space (e.g. Power Distribution Units, Battery Management Systems, Power Convertors, Inverters, etc.) and develop and/or improve hardware development process with center of expertise. You will work with cross functional teams (semiconductor, DREs, GM software, PCB layout, Mechanical Engineering, Supplier, Validation) to deliver quality product on time.

You will effectively achieve program milestones by thorough and effective program management.

I am seeking a high performing independent engineer to develop winning execution strategies, oversee solutions, resolve issues, and deliver continuous improvement for electric power components considering quality, cost, and timing.

What you'll do:

• Collaborate with other teams, such as software, diagnostic, mechanical, and manufacturing teams, and strategize with Tech Specialists, DRE’s, and Safety to ensure seamless integration of electrical hardware designs into the overall product.
• Lead embedded designs for advanced module architectures.
• Lead new IC design/development strategic to advanced in-vehicle architectures
• Lead electrical schematic design and PCB layout
• Optimize proposed electrical hardware designs, considering factors such as cost, performance, reliability, and manufacturability.
• Support next generation designs in digital/analog hardware including Gig+ ethernet, processors, memory, eFuse, FET, HSD/LSD, various semi associated within electric power components
• Perform/Review electrical worst-case analysis, Power distribution Analysis, Component selection and compatibility Analysis, Environment Analysis, EMC analysis, Weibull and other component robustness analysis
• Represent the GM HW team as design expert in the core technologies developed among the team
• Optimize design and verification tests/analysis for electronic circuit design including five-point parametric tests and define/implement end of line production tests
• Lead development process for either supplier owned or inhouse designs with production build team ensuring quality documentation (PFMEA, Control Plans, monitoring systems, EOL).
• Continuous Improvement mindset by refining/optimizing requirements per KPIs with Electric Power team
• Maintain component Hardware Design deliverables e.g., Block Diagram, Schematics, PCB layout, etc.
• Lead Peer Reviews and resolve issues (e.g. integration, interfaces, systemic issues)
• Support formal change control and ISO9001quality standards for Engineering Change Request (ECR) of components and appropriate documentation of design and process.
• Support Assembly Plant issue resolution
• Provide technical leadership for rapid issue resolution and root cause analysis
• Support Product Investigations (SFI Process)
• Lead Cost Reduction initiatives from evaluation to implementation
• Provides direction to Design Release Engineers (DREs) in product development team meeting
• Create and maintain Best Practices
• Demonstrated ability to work cross-functionally within the electric power team and across other SMTs.
• Ensure all Key Performance Indicators (i.e., piece cost, investment, mass, base engineering content, performance, and IPTV) are met.
• Develop/Review/Approve all In-process Electrical verification for a component validation (includes component software verification) collaborating with DREs and others to ensure the plan is executed in time to meet program imperatives.
• Develop new or improve analysis / simulation or testing to improve KPIs and incorporate into standard validation plans.
• Provide engineering expertise in Formal Design, Peer and Quality Valve reviews to ensure robust engineering designs and processes.
• Support vehicle integration activity for pre-production and production vehicles
• Lead/participate in issue resolution for design and development issues, ECU warranty analysis, parts restriction and report updates as required to Engineering and Vehicle Team leadership
• Lead/support DFMEA/PFMEAs/control plans/End of Line testing/APQP development/ Lean manufacturing/ 8D issue resolution/ compliance to ISO9001 and TS16949 compliance.

Your Skills & Abilities (Required Qualifications)

• Bachelor of Science in Engineering Required. Masters degree preferred
• Professional experience creating digital/analog HW interfaces including schematic creation and/or PCB layout & supportive documentation
• Minimum 7+ years working experience in automotive hardware electronics design
• Experience in design & analysis tools like Mentor Graphics (schematic and layout) Mathcad, PSpice and Saber
• High speed Communication Buses (Ethernet, SPI, I2C, IsoSPI, UART, PCIe, SerDes…)
• In-depth knowledge of Low voltage power distribution (eFuse, FET, Thermal, Li-Ion Battery, DC/DC converter)
• In-depth knowledge of requirements engineering process (FMEA, Preliminary Hazard Analyses)
• In-depth knowledge of regulatory requirements (EMC, Environmental durability, Electrical, robustness, Signal integrity and noise mitigation, etc.)
• In-depth knowledge of verification and validation processes
• In-depth knowledge of embedded software development, testing and associated tools
• Understanding of hardware design and failure mode
• Understanding of engineering theory and principles of operation of mechanical/electrical mechanisms
• Thorough knowledge of design development and test engineering, manufacturing and assembly operations, engineering processes and procedures.
• Highly developed oral and written communications skills
• Demonstrated ability to work cross-functionally within Electrical and across other SMTs.
• Demonstrated problem solving ability.
• High level of interpersonal skills to work effectively with others, motivate employees, and elicit work output
• Very high level of analytical problem-solving skills where problems are very unusual and extremely difficult.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Previous industry experience with compute, connectivity, Body, or low voltage distribution
• Manufacturing and assembly experience of electronic components

Additional Information:

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.