Senior AI Video Architecture Engineer

NVIDIA is hiring a Senior AI Video Architecture Engineer in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions Claude, PyTorch and TensorFlow among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.
Posted in the last few days.

AI in this role

ClaudePyTorchTensorFlowCursorClaude CodeCodex

computer-vision

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.

How we rate this

Senior AI Video Architecture Engineer at NVIDIA rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior AI Video Architecture Engineer is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on November 6, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionClaudePyTorchTensorFlowCursorClaude CodeCodex

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used Claude in your day-to-day work.
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used TensorFlow hands-on?
Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, Claude, PyTorch, TensorFlow, and Cursor. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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