PhD Research Intern, Robotic Perception and Learning

Nvidia

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Work type
On-site
Location
Redmond, WASanta Clara, CASeattle, WA
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

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TL;DR · PhD Research Intern, Robotic Perception and Learning

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The PhD Research Intern, Robotic Perception and Learning - 2027 joins the Robotic Visual Perception and Learning research group within the Learning and Perception Group Research. In this role, you will reproduce state-of-the-art computer vision methods and research, design, and implement novel deep learning algorithms to advance the state of the art in computer vision, robotics, and control. You will publish original research, collaborate with various research and product teams, and transfer technology to product groups. The position requires expertise in 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation. You must possess excellent programming skills in Python, with C++ and CUDA as pluses, and knowledge of machine learning frameworks like PyTorch. The work focuses on solving complex problems in robotic perception and learning.

Skills

Computer Vision Deep Learning Robotics Reinforcement Learning Python PyTorch C++ CUDA 3D Computer Vision Real-to-Sim-to-Real Tactile Sensing Robotic Manipulation

What you'll do

  • Reproduce existing state-of-the-art computer vision methods.
  • Research, design, and implement novel deep learning algorithms for computer vision and robotics.
  • Push the state of the art in robotics and control systems.
  • Publish original research in top-tier conferences.
  • Transfer developed technology to various product groups.

What we're looking for

  • Must be currently pursuing a Ph.D. in Computer Science, Engineering, Electrical Engineering, Robotics, or a related field.
  • Must have excellent knowledge of theory and practice in computer vision, deep learning, robotics, and/or control.
  • Must have expertise in 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation.
  • Must possess excellent programming skills in rapid prototyping environments such as Python.
  • Must have knowledge of common machine learning frameworks such as PyTorch.
  • Must have a proven track record of publication in top-tier conferences.
  • Must have excellent communication and analytical skills.
  • Proficiency in C++ and/or CUDA is a plus (preferred).

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