Senior ML Infrastructure Engineer - Embodied AI
AI summary of the role
Senior ML Infrastructure Engineer on the Embodied AI team at General Motors, building and scaling training 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
- Design, implement, and deploy scalable platforms and tools supporting ML 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 partner teams to ensure platforms meet real-world ML development needs and maximize adoption.
What you’ll bring
- 3+ years of experience working on large-scale distributed systems, applications, or ML infrastructure.
- Experience designing robust services or frameworks with durable, well-designed APIs.
- Solid understanding of ML workflows and hands-on experience applying ML systems in production environments.
- Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.
Technologies
Python · C++ · PyTorch · TensorFlow · Docker · Kubernetes · Bazel · Buck · Blaze · CMake · GPU clusters · MLOps
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:
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
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 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 measu [... source excerpt omitted ...] erience designing robust services or frameworks with durable, well-designed APIs. Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments. Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure. Practical experience across the ML development lifecycle, including model training, deployment, and MLOps practices. Strong cross-functional collaboration skills across teams and organizations. Strong coding skills in Python or C++. Interest in autonomous driving and large-scale ML systems. BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experie [... source excerpt omitted ...] re. This job may be eligible for relocation benefits. #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, 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
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