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NVIDIA

PhD Research Intern, Robotic Perception and Learning

NVIDIA

. Reproduce existing state-of-the-art computer vision methods .

Posted 10/22/2026internshipUnited StatesEntry Level💰 $38 - $94 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in computer vision methods and deep learning algorithms, with a strong focus on research and publication in top-tier conferences. Proficient in programming within rapid prototyping environments and capable of collaborating effectively across teams.

Highest-signal resume keywords
Ph.D. In Computer Science/EngineeringComputer Vision MethodsDeep Learning AlgorithmsProgramming Skills In PythonMachine Learning Frameworks

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Computer VisionDeep LearningRoboticsReinforcement Learning3D Computer VisionTactile SensingRobotic ManipulationRapid PrototypingC++CUDA
Soft Skills
Excellent Communication SkillsAnalytical Skills
Tools & Technologies
PyTorch
Industry Keywords
ResearchPublicationTechnology Transfer

Tech Stack

Tools & technologies
PythonPyTorchC++

About the role

Key responsibilities & impact
  • Reproduce existing state-of-the-art computer vision methods
  • Research, design, and implement novel deep learning algorithms for computer vision, robotics, and control
  • Publish original research
  • Collaborate with team members, research teams, and product teams
  • Transfer technology to product groups

Requirements

What you’ll need
  • 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: 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; 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

Benefits

Comp & perks
  • Competitive salaries
  • Generous benefits package
  • Intern benefits