General Motorsis seeking a skilled GPU kernel developer to design, implement, and optimize CUDA-based kernels for on-vehicle inference workloads. You will profile performance, build tooling, and collaborate with AI Solutions, Compilers, and Architecture to map requirements into kernel roadmaps.
You should have 2+ years of relevant experience, strong C++ skills, and a solid background in high-performance computing. This hybrid role offers opportunities to impact autonomous driving tech.
#J-18808-LjbffrSenior CUDA Kernel & Performance Engineer in wa at Unknown Company
This position is listed as full time and hybrid.