Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

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.

About the 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 Staff ML Infra Engineer, you will drive the development of 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. You will deliver 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.

Responsibilities

• Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
• Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs.
• Contribute to team planning, design reviews, and code quality.
• Take a holistic view of projects, considering their impact across multiple teams and over a longer timeline.
• Proactively drive technical prioritization.
• Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
• Shape the team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting.
• Mentor and onboard junior engineers and interns, helping them grow their careers.

Requirements

• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
• Proven track record of designing robust frameworks with high-quality, durable APIs.
• Deep understanding of machine learning algorithms with hands-on application.
• Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
• End-to-end experience across the ML development lifecycle, including MLOps practices.
• Strong cross-functional collaboration skills across teams and organizations.
• Exceptional coding skills in Python or C++.
• Strong interest in autonomous driving and its transformative potential.
• BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.

Nice to have

• Experience with distributed training methodologies.
• Experience scaling ML training across large GPU/CPU clusters or other accelerators.
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance and convergence.
• Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake).
• Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Schedule

This role is categorized as fully remote or hybrid.

Pay

The salary range for this role is $189,300.00 to $290,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus potential is available through an incentive pay program based on company performance, job level, and individual performance.

Benefits

• Medical, dental, and vision insurance.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation and holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.
• Relocation benefits (if eligible).
• Company vehicle evaluation program (upon successful completion of a motor vehicle report review).