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Research Scientist, Efficient Deep Learning - New College Grad 2024

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25d ago

💼 Graduate Job

Santa Clara

🤑 $160K - $253K

AI generated summary

  • You need a Ph.D. in CS/EE or research exp., strong computer vision & deep learning knowledge, experience in pruning/quantization/NAS, and Python/PyTorch skills. CUDA, large-scale model training, and a solid research track record are essential.
  • You will research, design, and implement efficient deep learning methods, publish research, collaborate with teams, mentor interns, speak at events, and transfer technology to product groups.

Graduate Job

Research & Development, Software EngineeringSanta Clara


  • NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and finetuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.


  • 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) is a plus.
  • 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.

Education requirements


Area of Responsibilities

Research & Development
Software Engineering


  • 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.


Work type

Full time

Work mode



Santa Clara


160000 - 253000 USD