We are now looking for an CPU computing engineer based in Shanghai.

　　NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

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

　　AI becomes more and more important in AI-City and self-driving car. NVIDIA is at the forefront of the AI-City and self-driving revolution and providing powerful solutions for them.

　　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

　　#deeplearning

　　NVIDIA is a Learning Machine

　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .