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Nvidia Senior Research Scientist Efficient Deep Learning United States, California 265126939
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What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research. Speak at conferences and events.
Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
Work with product groups to transfer technology.
What we need to see:
A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
3+ years or relevant post-graduate research experience
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
A background in pruning, quantization, NAS, efficient backbones is required.
Experience with large language models and large vision-language models is a plus.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
An outstanding research track record and strong communications skills.
You will also be eligible for equity and .
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