Staff ML Infrastructure Engineer - Embodied AI
AI summary of the role
This Staff ML Infrastructure Engineer role on the Embodied AI team at General Motors focuses on building scalable training and evaluation platforms for autonomous driving models.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead design, implementation, and deployment of scalable platforms for ML model training and evaluation workflows.
- Own complex technical projects end-to-end, making key architectural decisions and trade-offs.
- Proactively drive technical prioritization and collaborate with partner teams.
- Help shape the team through technical interviewing and recruiting.
What you’ll bring
- 5+ years building large-scale distributed systems or advanced ML systems.
- Proven track record designing robust frameworks with high-quality APIs.
- Deep understanding of ML algorithms with hands-on application.
- Expertise in building reliable, high-performance systems on modern cloud infrastructure.
Technologies
Python · C++ · PyTorch · TensorFlow · Docker · Kubernetes · Bazel · Buck · Blaze · CMake
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 from one modeling hypothesis to next. 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. What you'll do: 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
More from the job description
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 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 from one modeling hypothesis to next. You will deliver model training pipelines that are performant, easy to use, and exceptionally reliable. Your success [... source excerpt omitted ...] 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. You will be a core contributor to team planning, design reviews, and code quality. Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline. Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build. Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. Mentor and onboard junior engineers and in [... source excerpt omitted ...] ogram, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 #LI-CX1 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, saf
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