Nvidia GPU Computing Engineer 

China, Shanghai 

648572529

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