Senior Robotics Research Scientist

Responsibilities

• We are now looking for a Senior Robotics Research Scientist! NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is focused on fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research aims to transform research paradigms, transfer into NVIDIA’s robotics and simulation products, and create new robotics markets for the world.
• The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and leverage the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for world-class senior research scientists to play a pivotal role in these efforts, providing both technical leadership and hands-on technical contributions. These scientists must have exceptional research and engineering skills, a proven research track record, strong supporting references, and a team-first mentality.
• Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
• Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
• Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
• Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
• Deep comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging communication systems; and designing robust workflows for model training and evaluation.
• Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.

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