Senior ML Infrastructure Engineer (Compute)

Job Description About the Team: The AI Validation Platform team owns the cloud‑agnostic, reliable, and cost‑efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated validation of state‑of‑the‑art machine learning models, with a focus on performance, availability, concurrency, and scalability. We enable rapid innovation and development by prioritizing high‑impact, ML‑centric use cases. About the Role We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high utilization of cutting‑edge GPUs, while also leveling up the platform’s reliability. The successful candidate will have experience building and running scalable distributed systems. They will rapidly test and promote ideas, have strong problem‑solving skills, and demonstrate a bias for action. You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our AI Validation/Simulation needs. The ideal candidate brings experience in designing distributed systems, strong problem‑solving skills, and a get‑it‑done attitude. This is a high‑impact opportunity to influence the future of AI infrastructure at GM. What you’ll be doing Design and implement core platform backend software components. Collaborate with Simulation engineers, ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value. Lead technical decision‑making on compute architecture, cloud capacity provisioning, caching, and auto‑scaling mechanisms. Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization. Proactively research and integrate frameworks, hardware accelerators, and distributed computing techniques. Lead large‑scale technical initiatives across GM’s ML infrastructure. Raise the engineering bar through technical leadership and by establishing best practices. At a Minimum We’d Like You To Have 4+ years of industry experience, with a focus on high‑performance backend services. Strong expertise in Go, or other similar coding languages. Experience working with cloud platforms such as GCP, Azure, or AWS. Experience delivering cross‑functional initiatives. Strong communication skills and a proven ability to drive cross‑functional initiatives. Ability to thrive in a dynamic, multi‑tasking environment with ever‑evolving priorities. It’s Preferred If You Have Hands‑on experience with Cloud VM services Google Compute Engine. Experience with hardware‑in‑the‑loop validation systems. Experience with high performance computing (HPC). Experience working with or designing interfaces and clients for developer workflows. Familiarity with telemetry, and other feedback loops to inform product improvements. Familiarity with hardware acceleration (GPUs) and optimizations. 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 rewarding career that rewards you personally. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #J-18808-Ljbffr Dormont Manufacturing Company