General Motors is seeking an experienced GPU/CUDA software engineer to advance on-vehicle AI kernels and libraries. You will design, optimize, and validate CUDA-based kernels, collaborating across compiler, runtime, and deployment teams to push performance on real vehicles.
The role emphasizes cross-functional teamwork, state-of-the-art kernel development, and ensuring latency and throughput targets are met in production environments.
#J-18808-LjbffrSenior CUDA Kernel & ML Inference Engineer in austin at Unknown Company
This position is listed as full time and onsite.