CUDA Kernel Developer
Cambridge, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
IC Resources
integrate kernels into the NPU framework. What's required for a successful CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a CUDA Kernel More ❯
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