Remote CUDA Kernel Optimization Engineer
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Mercor is looking for a CUDA Engineering Expert to join their team and work remotely. This role will focus on analyzing and optimizing GPU kernels to enhance performance and efficiency.
The ideal candidate should possess strong experience in C++17, Python, and GPU programming. Key responsibilities include documenting optimization decisions and improving kernel implementations using profiler metrics. Candidates must be available for at least 20 hours a week. The position offers competitive compensation between $80 to $120 per hour.
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