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Nvidia Deep Learning Performance Architect Intern - 
China, Shanghai 
540342764

Yesterday
China, Shanghai
time type
Full time
posted on
Posted 28 Days Ago
job requisition id

What you'll be doing:

  • 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 analytical models for the state-of-the-art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.

  • Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uniprocessor and multiprocessor configurations.

  • Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.

What we need to see:

  • Pursuing BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.).

  • Strong programming skills in Python, C, C++.

  • Strong background in computer architecture.

Ways to stand out from the crowd:

  • Experience with GPU Computing and parallel programming models such as CUDA and OpenCL.

  • Experience with workload analysis on other deep learning accelerators.

  • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT).