Research Scientist, Deep Learning and Computer Vision

NVIDIA
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Job Description

What you will be doing:

  • Research, design and implement novel computer vision and deep learning methods.
  • Publish original research.
  • Collaborate with other team members and teams.
  • Mentor interns.
  • Speak at conferences and events.
  • Transfer technology to product groups.
  • Collaborate with external researchers.

What we need to see:

  • Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
  • 3+ years of relevant research experience in the field of deep learning and artificial intelligence.
  • Excellent knowledge of theory and practice of computer vision and deep learning methods.
  • A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.
  • Knowledge of common machine learning frameworks, such as PyTorch.
  • Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
  • Excellent communication skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!

Company Info.

NVIDIA

NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

  • Industry
    Cloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
  • No. of Employees
    22,473
  • Location
    2701 San Tomas Expressway, Santa Clara, CA 95050, USA
  • Website
  • Jobs Posted

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