,
, and
libraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our
showcasing performant matrix multiply on NVIDIA’s
with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.
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