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Nvidia GPU Computing Engineer 
China, Shanghai 
648572529

24.06.2024

This is our life’s work — to amplify human imagination and intelligence.

All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.

What you’ll be doing:

  • Analysis the cuDNN and TensorRT stability and performance issues from customer or internal team

  • Work with internationally distributed team with remote locations in US, APAC and India for cuDNN and TensorRT developing.

  • Extract the feature requirement or FAQ from the analysis and development and generate the documents

What we need to see:

  • Bachelor of Computer Science or Electrical Engineering is required and Master Degree is preferred.

  • 3+ years of related work

  • Strong programming skills in C and C++ and/or python

  • Have knowledge about the popular inference network and layers

  • Experience working with deep learning frameworks like Caffe, TensorFlow or Torch

  • Strong written and verbal communications in both English and Mandarin

  • Ability to work well in a diverse team environment as well as with cross site peers

  • Strong customer communication skills, powerfully motivated to provide highly responsive support as needed