Senior ML Infrastructure Engineer - Embodied AI

About this role

Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.


Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.


Role:
Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.


As a Senior ML Infra Engineer, you will work on the core systems that enable rapid dataset generation, training, evaluation and iteration of our most advanced Autonomous Driving models. From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next.


You will develop model training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and high‑performance training platforms you help create.


What You’ll Do:

• Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.
• Drive complex technical projects with strong ownership of implementation, code quality, and system reliability.
• Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.
• Work closely with ...