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NVIDIA

GPU computing · AI infrastructure

Deep Learning Performance Software Engineer

ChinaPosted 4 days ago
Software engineeringUnspecifiedFull Time
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We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. What you’ll be doing: Develop TileGym, Triton CUDA TileIR backend and CUDA Tile Develop highly optimized deep learning kernels through tile-based GPU programming model End-to-end performance optimization through tile-based GPU programming model Do performance optimization, analysis, and tuning What we need to see: Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) SW Agile skills helpful Excellent C/C++ programming and software design skills Python experience a plus MLIR experience a plus AI agent experience a plus Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU GPU programming experience (CUDA or OpenCL) desired 3 years of relevant work experience NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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