Senior AI Video Architecture Engineer

3 Weeks ago • 2 Years + • Video Editing

Job Summary

Job Description

NVIDIA's Shanghai video team seeks a Senior AI Video Architecture Engineer to develop deep learning-based solutions for video pre/post-processing and compression. Responsibilities include algorithm study, implementation, performance tuning, productization, and defining chip architecture for next-generation video/CV solutions. Collaboration with the ASIC team for hardware design is crucial. The ideal candidate possesses a Master's degree in Computer Science or Electronic Engineering, at least two years of deep learning or video codec project experience, and proficiency in deep learning frameworks (TensorFlow, PyTorch, Caffe), C/C++, and Python. Experience with video codecs (H.264/AVC, HEVC, VP9, AV1, VVC) and computer vision projects is highly desirable.
Must have:
  • Master's Degree in CS/EE
  • 2+ years DL or video codec experience
  • DL framework proficiency (TensorFlow, PyTorch, Caffe)
  • C/C++ or Python coding
  • Fluent English
Good to have:
  • DL-based video pre/post-processing experience
  • Video codec experience (H.264/AVC, HEVC, VP9, AV1, VVC)
  • Computer vision project experience
  • CUDA experience

Job Details

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 or VVC
  • Background with computer vision projects such as optical flow, stereo, super-resolution, frame rate up-conversion, etc.
  • Experience with CUDA.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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