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.
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 models
Play 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 writing
Strong C++ and CUDA programming skills
Please note: Due to the volume of applicants we typically receive, a follow-up email will not be sent unless a match is identified.