Remote CUDA Kernel Optimizer & AI Performance Engineer

Mercor is looking for a CUDA Engineering Expert to optimize GPU kernels for performance and efficiency. This remote role requires expertise in CUDA and C++, and offers a flexible work schedule of at least 20 hours per week.The ideal candidate will have experience with GPU performance metrics, as well as familiarity with GPU programming models and tools like Python and Git. Join a team that connects talent with leading AI research labs and contribute to cutting-edge GPU technology.#J-18808-Ljbffr Remote Skills: Artificial Intelligence (AI), C++ Programming Language, CUDA (Compute Unified Device Architecture), GPU (Graphics Processing Unit), Git, Kernel Programming, Leading Edge Technology, Performance Engineering, Performance Metrics, Performance Tuning/Optimization, Python Programming/Scripting Language, Research Laboratory About the Company: Mercor