General Motors is seeking a talented engineer for the AI Kernels & Compilers team to design and optimize CUDA-based GPU kernels for on-vehicle ML inference in ADAS and autonomous driving. You will push performance, reliability, and scalability within production-grade software across real vehicles.
The role blends kernel development with collaboration across compiler, performance tooling, and architecture teams, requiring strong C++ engineering, CUDA expertise, and system-level thinking.
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