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NVIDIA

PhD Research Intern, Robotic Perception and Learning - 2027

NVIDIA is hiring a PhD Research Intern, Robotic Perception and Learning - 2027. It pays $38-$94/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, Python and C.
  • Level classifies it as an internship.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted within the past week.

AI in this role

Conduct cutting-edge PhD research on robotic visual perception, deep learning, and reinforcement learning algorithms.

pytorchpythonccuda
computer-visiondeep-learningroboticsreinforcement-learning

The Robotic Visual Perception and Learning research group, part of NVIDIA’s Learning and Perception Group Research is looking for highly motivated PhD students for research internships. We are passionate about research that pushes boundaries, but also has impact in the real world. Our interns regularly publish their internship works in top-tier conferences in computer vision, robotics and machine learning. We have many experienced mentors in the team and our interns often choose to return for another internship. We carefully craft internship projects such that they match the interns' expertise.


What you'll be doing:

  • 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

What we need to see:

  • 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 of the following areas: 3D computer vision, reinforcement learning, real-to-sim-to-real, tactile sensing, or robotic manipulation.
  • Excellent programming skills in some rapid prototyping environment such as Python (C++ and/or CUDA is 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.

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!


With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class research teams are rapidly growing.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until October 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

PhD Research Intern, Robotic Perception and Learning - 2027 at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionDeep learningRoboticsReinforcement learningPyTorchPythonCCUDA

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where deep learning was part of your work. What did you do?
  3. Tell me about a project where robotics was part of your work. What did you do?
  4. Tell me about a project where reinforcement learning was part of your work. What did you do?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Computer vision, Deep learning, Robotics, Reinforcement learning, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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