Deep Learning Performance Architect

nvidia· CN05 NVIDIA Shanghai WFOE
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📍 China, Beijing📍 China, ShanghaiFull time

About this role

We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team.

We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. 


What you’ll be doing:

  • 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
  • Occasionally travel to conferences and customers for technical consultation and training

What we need to see: 

  • 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
  • 5 years of relevant work experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Frequently Asked Questions

Is the salary disclosed for the Deep Learning Performance Architect position at nvidia?
The salary for this Deep Learning Performance Architect role at nvidia is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Deep Learning Performance Architect position at nvidia located?
This Deep Learning Performance Architect role at nvidia is based in China, Beijing, China, Shanghai. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Deep Learning Performance Architect role at nvidia full-time or part-time?
This is listed as a Full time position. It is posted as a Deep Learning Performance Architect role in the CN05 NVIDIA Shanghai WFOE department at nvidia.
Which team or department does the Deep Learning Performance Architect at nvidia belong to?
This Deep Learning Performance Architect position is part of the CN05 NVIDIA Shanghai WFOE department at nvidia. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Deep Learning Performance Architect position at nvidia?
Click the "Apply Now" button on this page. You will be redirected to nvidia's official application portal hosted on workday where you can submit your application directly.
When was the Deep Learning Performance Architect job at nvidia posted?
This Deep Learning Performance Architect position at nvidia was posted on Aug 27, 2026. Apply as soon as possible — early applications are often reviewed first.
Deep Learning Performance Architect
nvidia
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