The Robotic Visual Perception and Learning research group at NVIDIA is seeking highly motivated PhD students for research internships. The team focuses on advancing research in computer vision, robotics, and machine learning, with a strong emphasis on real-world impact. Interns are expected to publish their work in top-tier conferences and collaborate with experienced mentors. This role offers a unique opportunity to contribute to cutting-edge projects and technology transfer to product groups.

• 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 such as 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation.
• Excellent programming skills in a rapid prototyping environment such as Python, with C++ and/or CUDA as a plus.
• Knowledge of common machine learning frameworks, such as PyTorch.
• Proven track record of publication in top-tier conferences.
• Excellent communications and analytical skills.

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

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.