Mercor is seeking a CUDA Engineering Expert to analyze and optimize GPU kernels for performance, leveraging CUDA, HIP, and shader programming to improve efficiency in AI research workloads. This remote contract role requires fluent C++17, Python, and Git, and at least 1 year of GPU-focused experience.
Candidates will document optimization choices, review kernel implementations, and work 20 hours per week. Prior experience with NSight Compute and NVIDIA/other hardware is a plus.
#J-18808-LjbffrRemote CUDA Kernel Performance Engineer in workfromhome at Unknown Company
This position is listed as contract and able to be worked remotely.