GPU / CUDA Engineers (Multiple Openings)
Greylock - san francisco, CA
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Several growth-stage investments of ours in San Francisco, CA are looking for experts in GPU Optimization Inference general, these are the responsibilities:Primarily focused on GPGPU programming to increase the performance of the product -- writing, debugging, and optimizing CUDA code from GPU kernel-level on upward to improve the holistic performance of new AI modelsPlay a key role creating all of the tooling and associated infrastructure to increase the performance of the company -- from fairly straight-forward projects (profilers) to incredibly complex (new inference engines) In general, these are the expectations:Proven background in CPU acceleration andor GPU optimization (latter preferred) with a strong preference toward candidates who have expertise in CUDA Kernel hacking Experience working in deep learning environments andor on products targeting high-performance ML systems Strong coding skills in high-performance environments (CC++)Please note: Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified (sorry). About us:We are full-time, salaried employees of Greylock, and there are no fees associated with any of the work we do. Our team provides free candidate referralsintroductions to all of our active investments (one of the many services we provide), and we're always looking to add new people to our network of talent.
Created: 2024-07-07