Staff ML Infrastructure Engineer

Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations - General Motors | Built In General Motors Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations Reposted 4 Days Ago Be an Early Applicant Sunnyvale, CA, USA Hybrid 189K-291K Annually Senior level Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing We make amazing products people love, for every journey. The Role Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle. Summary Generated by Built In DescriptionAt 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 accelera