Design and conduct experiments in simulation and, where appropriate, on physical robots.
Collaborate with researchers and engineers across robotics and AI, and communicate research outcomes through publications, demonstrations, open-source contributions, and presentation.
What we need to see
Currently pursuing a PhD in robotics, artificial intelligence, computer science, mechanical engineering, electrical engineering, or a related field.
Strong technical foundation in robotics, AI, or related areas, with an interest in real-world robotic systems.
Demonstrated ability to conduct independent research, evidenced by publications, impactful projects, or substantial research contributions.
Strong programming skills and experience in developing research software.
Ability to formulate research questions, implement novel methods, and rigorously evaluate experimental results.
Excellent problem-solving, communication, and collaboration skills.
Ways to stand out from the crowd
Research experience in AI coding agents, robotics, foundation models, or program synthesis.
Expertise in one or more areas such as robot learning, planning, simulation, perception, control, ...
Familiarity with robotics and simulation platforms such as ROS 2, Isaac Sim, Isaac Lab, or MuJoCo.
Experience implementing and validating methods on real robotic systems.
Publications at leading robotics conferences and journals, such as RSS, CoRL, ICRA, IROS, T-RO, IJRR, or RA-L.
Join NVIDIA Research to explore how AI agents can transform robotics research and industry.
