Senior Robotics Research Scientist

NVIDIA•Seattle, WA

About The Position

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.

Requirements

A PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
At least 3 years of research experience after completing your PhD; 5+ years is preferred.
Deep knowledge of both the theory and practice of robotics and AI, with a strong interest in connecting your work to real-world robotics applications.
A proven track record of research excellence, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams as both a leader and a contributor.
Exceptional programming skills in Python; in addition, familiarity with C++, CUDA, and Warp is a plus.
Fluency in modern deep learning frameworks such as PyTorch and JAX.
Significant experience with robotics frameworks such as ROS2 and physics simulation frameworks such as Isaac Sim, Isaac Lab, and MuJoCo.
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.

Nice To Haves

Prior experience working with product managers and engineering teams to transfer research into products is a significant plus.
A history of successfully mentoring junior researchers, engineers, and/or interns.
Experience with one or more of the following research areas and applications, which are of particular interest: Bimanual and dexterous manipulation Mobile manipulation and humanoid loco-manipulation Multisensory perception (e.g., vision, tactile, and force/torque sensing) Simulation, sim-to-real, and real-to-sim Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning Industrial applications, such as bin-picking, kitting, and assembly

Responsibilities

Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications
Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands
Co-leading and contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack
Engaging with the academic community through high-impact publications, conferences, workshops, and code releases
Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact
Mentoring interns and more junior research scientists and engineers

Benefits

You will also be eligible for equity and benefits .
NVIDIA is committed to fostering a diverse 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.

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