Senior ML Accelerator Engineer - GPU

About the Mission: GM’s vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies, including Level 4–capable fully self-driving systems, to move us toward safer, more sustainable, and more accessible mobility. For the AI Kernels & Compilers team, that mission shows up in the details: turning cutting‑edge perception, prediction, and planning research into production‑grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new approaches to model export, kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road. If you want your compiler and kernels work to directly influence how automated vehicles understand and react to the world — while operating at the safety, reliability and scale of a company like GM — this is where that impact becomes real. About the Team: The AI Kernels team builds high‑performance GPU kernels and custom libraries that sit at the heart of our on‑vehicle ML inference for ADAS and autonomous driving. We own making core AI workloads faster, more reliable, and easier to maintain and deploy on real cars, under real‑world constraints. That means: Designing and implementing custom operators when vendor libraries hit their limits; Integrating those kernels deep into our ML runtime stack; Debugging and tuning GPU performance across the AV software stack, often on hardware‑in‑the‑loop. We partner closely with AI Solutions, AI Compilers, AI Architecture, and AI Tooling to ensure models deploy efficiently to the car while consistently meeting strict latency, throughput, and reliability targets. If you enjoy pushing GPUs to their limits and seeing your work directly impact how autonomous vehicles perceive and act in the world, this is the team for you.