Description
We are seeking an Architecture Engineer to join our video team in Shanghai, focusing on algorithm, architecture, and hardware design of video/CV solutions across various NVIDIA products.
You will be working on developing DL-based solutions for video pre/post-processing, compression, and other related tasks, including algorithm study, implementation, performance tuning, and productization.
Key responsibilities:
- Develop DL-based solutions for video pre/post-processing, compression, etc.
- Study new video compression/computer vision technology, specifications, papers, etc.
- Define the chip architecture of NVIDIA's next-generation video/CV solution and collaborate with the ASIC team to deliver HW design.
Requirements:
- Master's degree or above in Computer 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 skills and C/C++ or Python coding abilities
- Fluent English and good communication skills
Nice to have:
- 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
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