Research Intern, Robotics

NVIDIA

. Develop algorithms, foundation models, and methods for robotic manipulation and/or loco-manipulation for industrial, scientific, and household applications .

Posted 9/21/2026full-timeUnited StatesEntry Level💰 $38 - $94 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing algorithms and methods for robotic manipulation and AI agents, with a strong focus on real-world applications and high-impact research contributions. Proficient in programming and familiar with robotics frameworks and simulation tools essential for advancing robotic systems.

Highest-signal resume keywords

PhD In Robotics Or Related FieldProgramming Skills In PythonExperience With Robotics Frameworks Such As ROS2Fluency In Deep Learning Frameworks Such As PyTorchTrack Record Of Publications In Top Robotics And AI Conferences

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Robotic Manipulation AlgorithmsAI Agent DevelopmentSimulation And Real-World RoboticsDexterous Manipulation TechniquesMobile ManipulationHigh-Precision ManipulationRobotics Hardware DebuggingCritical Validation Of AI OutputsWorld ModelsReliable Policy Deployment

Soft Skills

Exceptional Communication SkillsCollaboration SkillsInterpersonal SkillsTeamwork Experience

Tools & Technologies

PythonC++CUDAWarpPyTorchJAXROS2Isaac SimMuJoCoIsaac Lab

Industry Keywords

RoboticsMachine LearningAI ResearchSimulation FrameworksRobotics ApplicationsResearch PublicationsCollaborative RobotsHumanoid RoboticsDexterous HandsScientific Lab Automation

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Develop algorithms, foundation models, and methods for robotic manipulation and/or loco-manipulation for industrial, scientific, and household applications
Integrate methods into real-world robotic manipulation systems, including collaborative and industrial robot arms, mobile manipulators, humanoids, and dexterous hands
Contribute to multi-person research projects across the robotics and machine learning stack
Engage with the academic community through high-impact publications, conferences, workshops, and/or code releases
Develop AI agents to accelerate research and engineering while ensuring correctness, reproducibility, and security
Work on research areas including dexterous manipulation, mobile manipulation, humanoid loco-manipulation, multimodal robot learning, simulation, sim-to-real, real-to-sim, world models, real-world learning, robot foundation models, agentic robotics, robot learning theory, high-precision manipulation, reliable policy deployment, and scientific lab automation

Requirements

What you’ll need

Enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
Knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications
Demonstrated track record, with first-author work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IJRR, T-RO, Science Robotics, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP
Exceptional communication, collaboration, and interpersonal skills, with significant experience working on a team
Exceptional programming skills in Python
Familiarity with C++, CUDA, and Warp is a plus
Fluency in modern deep learning frameworks such as PyTorch or JAX
Experience in AI coding and research agents, including critical validation of their outputs
Experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, Newton, and/or MuJoCo
Comfort with simulation and real-world robotics complexities, including debugging physics simulators and renderers; setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation

Benefits

Comp & perks

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