Deep Learning Performance Architect Intern jobs at Nvidia in China, Shanghai
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China
Shanghai
39 jobs found
22.06.2024
N
Nvidia Deep Learning Performance Architect Intern China, Shanghai
Analyze the performance of various machine learning/DL algorithms on existing/new architectures. Identify bottlenecks and propose creative solutions to improve them. Develop high performance operators on NVIDIA GPUs for cuBLAS, TensorRT,...
Analyze the performance of various machine learning/DL algorithms on existing/new architectures. Identify bottlenecks and propose creative solutions to improve them. Develop high performance operations for cuDNN library. Designing and developing...
Establish deep learning applications and use-cases for performance analysis, modelling, and projections. Analyzing and proposing both SW and HW optimizations for deep learning applications. Specify hardware/software configurations and metrics to...
Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Client (Desktop/Laptop) platforms and SoCs). Identify performance bottlenecks and propose optimizations. Performance analysis of DL workloads (e.g., LLM). BS, MS...
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...
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...
Analyze the performance of various machine learning/DL algorithms on existing/new architectures. Identify bottlenecks and propose creative solutions to improve them. Develop high performance operators on NVIDIA GPUs for cuBLAS, TensorRT,...
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