Engineering AI/ML Manager - AV ML Infrastructure job opportunity at General Motors.

Home Jobs In United States Of America Tag: Job Engineering AI/ML Manager - AV ML Infrastructure position at General Motors


bot
General Motors Engineering AI/ML Manager - AV ML Infrastructure
Experience: 5-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeGeneral
loacation Sunnyvale, California, United States of America, United States Of America
loacation Sunnyvale, Cal..........United States Of America

Job Description Engineering AI/ML Manager, AV ML Infra   We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.   We’re 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.   GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.   If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us.   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.   Our ML infrastructure includes:   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.   Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.   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 a 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 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.

Other Ai Matches

Oshawa - Site Support Analyst Applicants are expected to have a solid experience in handling Job related tasks
Senior Designer – Human Interface Design Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Staff Software Engineer, Autonomy Evaluation Applicants are expected to have a solid experience in handling Autonomy Evaluation related tasks
Electrical SMT Manager Applicants are expected to have a solid experience in handling Job related tasks
AI Software Development Manager Applicants are expected to have a solid experience in handling Job related tasks
Maintenance Group Leader - Contiguous Die Stamping Applicants are expected to have a solid experience in handling Job related tasks
Senior Researcher - Energy & Propulsion Systems Aerodynamics Applicants are expected to have a solid experience in handling Job related tasks
Global Web Strategy Lead Applicants are expected to have a solid experience in handling Job related tasks
Senior Site Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior HR Business Partner Applicants are expected to have a solid experience in handling Job related tasks
Electrician Journeyperson - Wentzville Assembly Applicants are expected to have a solid experience in handling Job related tasks
Senior Design for Manufacturing, Testing, Tooling Engineer Applicants are expected to have a solid experience in handling Testing, Tooling Engineer related tasks
Material Flow Coordinator- GM Defense Applicants are expected to have a solid experience in handling Job related tasks
Data Management and Analytics Group - Data Analysis Applicants are expected to have a solid experience in handling Job related tasks
Motion Estimation Senior Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
Perception Tech Lead – Autonomy Algorithms Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Developer-GM Motorsports Applicants are expected to have a solid experience in handling Job related tasks
Senior Buyer - Structures & Precision Stampings Applicants are expected to have a solid experience in handling Job related tasks
Lab Technician Applicants are expected to have a solid experience in handling Job related tasks
Senior Antenna Product Engineer Applicants are expected to have a solid experience in handling Job related tasks
Die Maker Journeyperson - Bedford Casting Operations Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Manager, Chevrolet Lifestyle Communications - Bilingual Applicants are expected to have a solid experience in handling Chevrolet Lifestyle Communications - Bilingual related tasks
Container Flow Operations Analyst Applicants are expected to have a solid experience in handling Job related tasks