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Gpu Full Chip Random Verification Architect jobs at Nvidia in China, Shanghai
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China
Shanghai
30 jobs found
02.07.2025
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Nvidia Deep Learning Performance Architect Intern - China, Shanghai
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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...
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02.07.2025
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Nvidia Senior SWQA Test Development Engineer - GPU Communications L... China, Shanghai
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Be responsible for running test cases to validate NVIDIA GPU Communications Libraries (NCCL, NVSHMEM, UCX, GDRCopy, GPUDirect RDMA etc). Be responsible to automate test cases and maintain the automation scripts....
01.07.2025
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Nvidia ASIC Verification Engineer China, Shanghai
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Reading design specs to understand the design requirement and build corresponding testplan. Review the testplan with arch/design engineers. Building block/IP testbench based on UVM methodology. Building test cases and regression...
01.07.2025
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Nvidia Deep Learning Performance Architect Intern - China, Shanghai
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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...
01.07.2025
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Nvidia Senior Design Verification Engineer - Hardware China, Shanghai
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You will participate in the research of verification methodology to improve automation and productivity to produce Nvidia’s new high-quality products. Read IAS and design specs to understand the design requirement...
01.07.2025
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Nvidia Senior Design Verification Engineer China, Shanghai
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Participate in the research of verification methodology to improve automation and productivity to produce NVIDIA's new high-quality products. Read the IAS and design specs to understand the design requirements and...
01.07.2025
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Nvidia Solutions Architect Intern AI4S Project - China, Shanghai
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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...
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Description:Full job details
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...
These jobs might be a good fit
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