CUDA Kernel Engineer — Optimize GPU AI Systems (Equity)

PRAGMATIKE is seeking a CUDA Kernel Engineer to optimize GPU performance for large-scale AI systems. The role requires proficiency in building and optimizing CUDA kernels for NVIDIA GPUs and working closely with AI solutions for Fortune 500 clients.

Ideal candidates will have a deep understanding of NVIDIA GPU architecture and solid experience with profiling tools. Competitive salary, equity options, sign-on bonus, and health benefits included.

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