NVIDIA is seeking a Senior Software Engineer for CUDA UMD - GPU Kernel Scheduling (Finance) to advance the CUDA Driver and its scheduling capabilities. You will collaborate across teams to design and implement features, shaping the future of CUDA APIs and programming models for diverse workloads.
The role emphasizes strong C/C++ skills, multithreading, and experience with large codebases in a Linux environment, with opportunities to impact AI, deep learning, and graphics workloads.
#J-18808-LjbffrSenior CUDA Driver & Kernel Scheduler Engineer (Equity) in santa clara at Unknown Company
This position is listed as full time and onsite.