Compute Architect jobs at Nvidia in China, Shanghai
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Design, implement, and optimize MLIR-based compiler passes for deep learning and data analytics workloads. Analyze and improve the performance of machine learning and deep learning algorithms on current and next-generation...
Drive LLM efficiency: Design and leverage advanced low-precision quantization techniques (INT8, FP8, FP4) to optimize inference performance for customer deployments. Innovate with frameworks: Simulate, optimize, and extend cutting-edge training &...
Develop highly optimized deep learning kernels for inference. Do performance optimization, analysis, and tuning. Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions. Occasionally...
Architect Performance Tooling: Develop infrastructure tools/libraries for GPU performance analysis, visualization, and automated workflows used across GPU SW/HW development life cycle. Unlock Architectural Insights: Analyze GPU workloads to identify bottlenecks...
Analyze state-of-the-art DL networks (LLM, VLA, and Multimodal model etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products. Develop...
Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, including weather, CFD, Quantum, materials/chemistry, Robotic, Life science). Conduct AI engineering via playing with software...
Develop innovative architectures to extend the state of the art in deep learning performance andefficiency. Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites. Understand...
Design, implement, and optimize MLIR-based compiler passes for deep learning and data analytics workloads. Analyze and improve the performance of machine learning and deep learning algorithms on current and next-generation...
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