Designs and optimizes high-performance CUDA and Triton kernels for ML compression algorithms to improve training and inference efficiency on GPUs. Builds tooling to democratize GPU performance optimization.
📌 Ml Kernel Performance Engineer, Edge Ai And Science - C$114,800 - C$191,800 A Year (Richmond)
🏢 Amazon Devices
📍 Richmond
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