Tech mentioned
- C++
- CUDA
- PyTorch
- TensorFlow
- Location
- Shanghai, China
- Workplace
- On-site
- Salary
- Not listed
- Seniority
- Senior
- Employment
- Full-time
- Team
- Not specified
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.