Staff ML Engineer, ML Compute Platform

Job Description Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium or Mountain View Technical Center , CA at least three times per week, at minimum or other frequency dictated by the business. This job is eligible for relocation assistance. About the Team: The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency. About the Role: We are seeking a Staff ML Engineer to help build and scale robust compute platforms for ML workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient mod [... source excerpt omitted ...] tem Help raise the engineering bar through technical leadership and best practices Contribute to and potentially lead open source projects; represent GM in relevant communities Requirements 8+ years of industry experience Expertise in either Go, C++, Python or other relevant coding languages Strong background with kubernetes at scale Relevant experience building large-scale with distributed systems Experience leading and driving large scale initiatives Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services Preferred Qualifications Hands-on experience building ML infrastructure platforms with strong developer/user experience Experience worki [... source excerpt omitted ...] and accident benefits, life insurance, paid vacation & holidays. #LI-EL1 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