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 market-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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📌 Remote Cuda Kernel Engineer: Optimize Ai Gpu Performance (Queensland)
🏢 PRAGMATIKE
📍 Queensland
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