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Nvidia Research Scientist Efficient Deep Learning - New College Grad United States, California 692451512
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What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Background in pruning, quantization, NAS, efficient backbones, and so on, is expected.
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.
Outstanding research track record.
Excellent communications skills.
You will also be eligible for equity and .
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