Staff ML Infrastructure Engineer (Compute)

About the Role

We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation, data labeling, and data generation 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 a strong bias for action. 

You will play a key role in shaping the architecture, roadmap, and user experience of a robust service supporting our ML simulation and hardware-in-loop validation needs. The ideal candidate brings experience in designing distributed systems, strong problem-solving skills,anda product mindset focused on platform efficiency and reliability. This is a high-impact opportunity to influence the future of AI infrastructure at GM.