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NVIDIA

Senior AI Video Architecture Engineer

China, Shanghai

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hirly's read of this role

Seniority
Senior
Country
CN
Work mode
On-site / unstated
First seen by hirly
7 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

NVIDIA video team is located in Shanghai, focuses on algorithm, architecture and HW design of video/CV solutions in all NVIDIA products, including datacenter, desktop, automotive, embedded system, etc. More than 80% of global internet traffic is video stream and it’s still growing, there’s a strong demand for reducing video bandwidth and increasing video quality. We are looking for architecture engineers to address this problem in a DL based approach.

What you’ll be doing:

  • Develop DL based solutions for video pre/post-processing, compression, etc. Including algorithm study, implementation, performance tuning, and productization.
  • Study new video compression/computer vision technology, specifications, papers, etc.
  • Define the chip architecture of NVIDIA's next-generation video/CV solution, collaborate with ASIC team to deliver HW design.

What we need to see:

  • Master Degree or above in Compute Science or Electronic Engineering
  • Minimum of 2+ years’ experience in deep learning or video codec projects.
  • Experience with deep learning training frameworks such as Tensorflow, Pytorch, Caffe.
  • Good programming skill and C/C++ or python coding abilities.
  • Fluent English and good communication skill.

Ways to stand out from the crowd:

  • Project experiences on deep learning-based video pre/post processing, compression.
  • Experience with video codec such as H264/AVC, HEVC, VP9, AV1, AV2 or VVC.
  • Experience with coding agents, such as Cursor, Codex, and Claude code.
  • Background with computer vision projects such as optical flow, stereo, super-resolution, frame rate up-conversion, etc.
  • Experience with CUDA.
Original posting on NVIDIA's site ↗

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