Senior Robotics Researcher, Foundation Models

Details

We are looking for a Senior Robotics Researcher to join the Dex team at NVIDIA to help build training infrastructure and foundation models for dexterous robots. The role focuses on scaling reinforcement learning (RL) training in simulation for real-world deployment, multi-modal sensor processing, sim-to-real dexterity pipelines, and close coordination with simulation and product teams.

Responsibilities

• Scale RL training in simulation for real-world deployment and develop new scalable RL training paradigms for skills foundation models.
• Study high-dimensional sensor processing and multi-modal integration (stereo RGB, depth, tactile, proprioception).
• Build and deploy sim-to-real dexterity training pipelines to humanoids (upper torso and full body).
• Perform rigorous scientific analysis of tradeoffs in training methodologies.
• Coordinate closely with the simulation team on scalable simulation infrastructure and sensor simulations for training.
• Collaborate with other research teams across the company and transfer technology to product teams.

Requirements

• MS or PhD degree in a robotics-related field (or equivalent experience).
• 4+ years of work-related experience in AI and learning approaches to robotics, especially RL and/or modern imitation learning.
• Strong PyTorch and training experience, particularly with large-scale systems.
• Experience working with robotic hardware, especially manipulators and multi-fingered hands.
• Creativity in problem solving and ambition to work steadily toward long-term research visions.

Ways to stand out

• Experience with Isaac Lab/Sim/Gym RL training and experience with Warp.
• Deep knowledge of modern perceptual backbones and internet-scale robotics foundation model training.
• Experience with tactile sensors (physical and simulated) and multimodal sensorimotor processing.
• Strong understanding of mathematical concepts related to robotics and AI such as SE(3) transforms, kinematics, dynamics, control, numerical differential equations, nonlinear geometry, high-dimensional geometry, kernel methods, and diffusion models.
• Full-stack experience with learning-based robotic systems and complex large-scale systems.

Compensation & Benefits

• Base salary range: 184,000 USD - 299,000 USD (determined by location, experience, and comparable employees).
• Eligible for equity and benefits.

About NVIDIA

NVIDIA positions GPUs at the center of the next robotics revolution — powering simulation, deep learning, and embodied AI. The company emphasizes the convergence of computer graphics and artificial intelligence to build systems that perceive and understand the world.

Application information

• Applications accepted at least until August 22, 2025.

Equal opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other characteristics protected by law.