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Job Title


Sr. MTS, GPU Optimization (CUDA)


Company : Greylock


Location : San Francisco, CA


Created : 2024-04-24


Job Type : Full Time


Job Description

One of our Series A investments is looking for an expert in GPU Optimization with a strong background in CUDA and low-level model optimizations.Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button.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)Requirements (must-haves):Proven background in GPU optimization for deep learning environments with clearly-visible experience in GPU kernel writingStrong C++ and CUDA programming skillsPlease note: Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified.