Machine Learning Algorithm Developer
1 month ago
We are seeking an exceptional GPU Computing Engineer to join our team at NVIDIA in Shanghai.
NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPU deep learning technology ignited modern AI, 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.
We are at the forefront of the AI-City and self-driving revolution, providing powerful solutions for them. All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.
Key Responsibilities:
- 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
Requirements:
- 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
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