PhD Research Intern: Robotic Perception & Learning

NVIDIA Corporation; Washington; On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Hourly pay

Job summary

NVIDIA Corporation in the United States (WA: Redmond/Seattle) invites PhD students to join the Robotic Visual Perception and Learning group for a research internship. You will reproduce state-of-the-art computer vision methods, design and implement novel deep learning algorithms, and publish your results in top venues.

You will collaborate with team members and transfer technology to product groups, contributing to real-world robotics and control systems.

Qualifications

• Pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, Robotics or related field.
• Excellent knowledge of theory and practice of computer vision methods, deep learning, robotics, and/or control.
• Expertise in one or more areas: 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation.
• Excellent programming skills in rapid prototyping environments such as Python (C++/CUDA a plus).
• Knowledge of ML frameworks like PyTorch.

Responsibilities

• Reproduce existing state-of-the-art computer vision methods.
• Research, design, and implement novel deep learning algorithms to push the state of the art in computer vision, robotics, and control.
• Publish original research.
• Collaborate with other team members, research teams, and product teams.
• Transfer technology to product groups.

Skills

Python programming

PyTorch

C++/CUDA

Communication

Analytical skills

Education

Pursuing PhD in Computer Science/Engineering / Robotics

Tools

PyTorch

CUDA

Python

Job description

NVIDIA Corporation in the United States (WA: Redmond/Seattle) invites PhD students to join the Robotic Visual Perception and Learning group for a research internship. You will reproduce state-of-the-art computer vision methods, design and implement novel deep learning algorithms, and publish your results in top venues.

You will collaborate with team members and transfer technology to product groups, contributing to real-world robotics and control systems.