Kernel Engineer
November 12
Description
• Design, implement and maintain high-performance kernels to optimize throughput and latency during training and inference. • Design, develop and optimize custom high-performance GPU kernels • Evaluate porting Magic’ compute kernels to alternative hardware options • Suggest improvements to how we train and inference our models
Requirements
• Experience with low-level programming of AI accelerators (e.g. CUDA, XLA) • Deep understanding of GPU, TPU, and/or CPU architecture
Benefits
• Annual salary range: $100K - $550K • Equity is a significant part of total compensation, in addition to salary • 401(k) plan with 6% salary matching • Generous health, dental and vision insurance for you and your dependents • Unlimited paid time off • Visa sponsorship and relocation stipend to bring you to SF, if possible • A small, fast-paced, highly focused team
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