NVIDIA

Deep Learning Performance Architect

NVIDIA

full-time

Posted on:

Origin:  • 🇨🇳 China

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Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • 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
  • Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT
  • Occasionally travel to conferences and customers for technical consultation and training
  • Build GPU-accelerated deep learning software and enable new solutions

Requirements

  • Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
  • SW Agile skills helpful
  • Excellent C/C++ programming and software design skills
  • Python experience a plus
  • Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
  • GPU programming experience (CUDA or OpenCL) desired
  • 3+ years of relevant work experience
  • Ability to work in a fast-paced customer-oriented team
  • Excellent communication skills
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