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Remote cuda kernel engineer: optimize ai gpu performance

Newcastle
Pragmatike
Posted: 21 May
Offer description

A fast-growing AI startup is seeking a CUDA Kernel Engineer to design and optimize NVIDIA CUDA kernels. This position is remote and requires hands-on experience with GPU architecture and performance tuning. Ideal candidates will have a deep understanding of CUDA and GPU memory hierarchy. Benefits include competitive salary, equity options, and a sign-on bonus. This role provides an excellent opportunity to impact production AI systems at scale in a dynamic environment.
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