Deep Learning Performance Architect jobs at Nvidia in China, Shanghai
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China
Shanghai
28 jobs found
31.08.2024
N
Nvidia Deep Learning Performance Architect China, Shanghai
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....
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...
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...
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,...
Analyze state of the art DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products. Develop analytical...
Developing production-quality software that ships as part of NVIDIA's AI software stack. Analyzing the performance of important workloads, tuning our current software, and proposing improvements for future software. Working with...
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...
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....
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