Software Engineer Cudnn - Deep Learning jobs at Nvidia in China, Shanghai
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China
Shanghai
106 jobs found
24.06.2024
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Nvidia Software Engineer cuDNN - Deep Learning China, Shanghai
Develop production-quality software that ships as part of NVIDIA's AI software stack, including optimized large language model (LLM) support. Analyze the performance of important workloads, tuning our current software, and...
Analyze performance of various machine learning/deep learning algorithms on different architectures. Identify architecture and software performance bottlenecks and propose optimizations. Explore new features and hardware capabilities on deep learning applications....
Design and develop the architecture, interface and features of the GPU kernel library. Keep improving the quality and performance of the library and its GPU kernels. Explore and expand the...
Assist in supporting industry accounts and drivingresearch/influencing/newbusiness in those accounts. Assistresearchers/engineerson their GPU applications. Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team....
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...
Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. Plan/design/execute/report/automatetest plan/test case/test reports. Manage bug lifecycle and co-work with inter-groups to drive...
Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Automotive, Client (Desktop/Laptop) platforms and SoCs). Identify performance bottlenecks and propose optimizations. BS, MS or PhD in relevant discipline (CS,...
Develop production-quality software that ships as part of NVIDIA's AI software stack, including optimized large language model (LLM) support. Analyze the performance of important workloads, tuning our current software, and...
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