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Engineering AI/ML Manager - AV ML Infrastructure
Jobs via Dice, Sunnyvale, California, United States, 94087
Engineering AI/ML Manager - AV ML Infrastructure
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Engineering AI/ML Manager - AV ML Infrastructure
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Jobs via Dice .
Job Description We’re General Motors (GM), a company driving the future of mobility with advanced self‑driving and electric vehicle technologies. GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields.
We are building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self‑driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
About the team The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting‑edge ML techniques.
AI Validation & Inference: Ensures robust model performance by running large‑scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large‑scale ML training and inference across cloud and on‑prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Position Overview As an Engineering AI/ML Manager for AV ML Infra, you will lead a small team of engineers, helping them deliver high‑quality ML infrastructure while developing strategies for growth and execution. You'll ensure the team is effective, collaborate across functions, and foster a culture of technical excellence.
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 Be Doing
Lead and mentor engineers within the AV ML Infra team.
Hire and grow engineers, supporting career development and team expansion.
Ensure smooth execution by organizing team structure and processes effectively.
Promote engineering best practices and maintain high‑quality product standards.
Collaborate with other GM teams to enable safe, reliable, and efficient ML workflows.
Contribute to planning and strategy for AV ML infrastructure growth.
Build a positive, collaborative team culture with focus on learning and career growth.
Represent GM values and help foster engineering culture.
What You Must Have
2‑5 years of management experience (leading an engineering team).
BS in Computer Science, Electrical Engineering, or related technical field.
Strong software engineering background.
Experience shipping production‑quality software for complex projects.
Comfortable collaborating in a fast‑paced, dynamic environment.
Strong analytical and problem‑solving skills.
Bonus / Preferred
Experience with ML platforms, Kubernetes, or distributed computing.
Familiarity with autonomous vehicle ML workflows.
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,
email
us or call us at . 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Software Development
#J-18808-Ljbffr
Engineering AI/ML Manager - AV ML Infrastructure
role at
Jobs via Dice .
Job Description We’re General Motors (GM), a company driving the future of mobility with advanced self‑driving and electric vehicle technologies. GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields.
We are building the world’s most innovative autonomous vehicles to safely connect people to the places, things, and experiences they care about. We believe self‑driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
About the team The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting‑edge ML techniques.
AI Validation & Inference: Ensures robust model performance by running large‑scale simulation workloads and managing reliable ML inference pipelines.
ML Compute: Streamlines and optimizes large‑scale ML training and inference across cloud and on‑prem compute resources.
AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.
Position Overview As an Engineering AI/ML Manager for AV ML Infra, you will lead a small team of engineers, helping them deliver high‑quality ML infrastructure while developing strategies for growth and execution. You'll ensure the team is effective, collaborate across functions, and foster a culture of technical excellence.
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 Be Doing
Lead and mentor engineers within the AV ML Infra team.
Hire and grow engineers, supporting career development and team expansion.
Ensure smooth execution by organizing team structure and processes effectively.
Promote engineering best practices and maintain high‑quality product standards.
Collaborate with other GM teams to enable safe, reliable, and efficient ML workflows.
Contribute to planning and strategy for AV ML infrastructure growth.
Build a positive, collaborative team culture with focus on learning and career growth.
Represent GM values and help foster engineering culture.
What You Must Have
2‑5 years of management experience (leading an engineering team).
BS in Computer Science, Electrical Engineering, or related technical field.
Strong software engineering background.
Experience shipping production‑quality software for complex projects.
Comfortable collaborating in a fast‑paced, dynamic environment.
Strong analytical and problem‑solving skills.
Bonus / Preferred
Experience with ML platforms, Kubernetes, or distributed computing.
Familiarity with autonomous vehicle ML workflows.
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,
us or call us at . 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Software Development
#J-18808-Ljbffr