Engineering AI / ML Manager - AV ML Infrastructure

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.

What You'll Be Doing

What You Must Have

Bonus / Preferred

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-beingat work and at homeso 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.

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 at Careers.Accommodations@GM.com. 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.