Senior AI Video Architecture Engineer
- LocationChina, Shanghai
- Work typeNot stated
- EmploymentFull-time
- Posted6 November 2026
- SourceNVIDIA's careers page (Workday)
Live checkFirst seen 1 h ago; still listed on NVIDIA's careers page 59 min ago.
At a glance
- Experience2+ years
- EducationMaster's degree
- LanguagesEnglish
- Skills and toolsTensorFlow, PyTorch, Python, Computer vision
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Check my fitAbout the role
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.
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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.
Are you a fit for this role?
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