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Nvidia Senior Video AI Architect United States, California 639478049
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What you’ll be doing:
Research and development into deep learning networks for video compression, video pre/post processing.
Video codec algorithm / HW architecture development
Modeling of multimedia hardware.
What we need to see:
Master’s degree or PhD in Electrical Engineering, Computer Science, or equivalent experience.
At least 6+ years industry experience in deep learning and/or video compression field.
Hands on experience with PyTorch / Tensorflow is must have.
Hands on experience with video codecs such as H264 (AVC)/H.265 (HEVC)/AV1 is must have.
Excellent C/C++ and Python programming skills.
Good communication skills.
Ways to stand out from the crowd:
Prior experience with the successful delivery of AI features in products.
Research/development experience into video compression standards (H.264/HEVC/AV1).
Experience with GPU optimization frameworks, Tensor RT or cuDNN.
You will also be eligible for equity and .
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