# Senior AI Video Architecture Engineer at NVIDIA

NVIDIA is hiring a Senior AI Video Architecture Engineer in Shanghai, China. Level rates it Builds AI ●●●●; you can [apply on NVIDIA](https://jobsbylevel.com/go/f95fbf23-3ef0-442d-934c-f9ee39ff30d9?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. China, Shanghai.

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 4 (score 83 out of 100)
- Location: China, Shanghai
- Posted: November 6, 2026
- Apply: https://jobsbylevel.com/go/f95fbf23-3ef0-442d-934c-f9ee39ff30d9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-video-architecture-engineer-at-nvidia-fba6e6

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-ai-video-architecture-engineer-at-nvidia-fba6e6

## Description

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.

Source: https://jobsbylevel.com/jobs/senior-ai-video-architecture-engineer-at-nvidia-fba6e6

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Level. https://jobsbylevel.com/jobs/senior-ai-video-architecture-engineer-at-nvidia-fba6e6.

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