Senior Robotics Researcher, Foundation Models (Finance)
We are now looking for a Senior Robotics Researcher for Building Foundation Models!
Robotics is exploding as AI becomes embodied, and the GPU is at the center of that. The next robotics revolution is happening right now, and NVIDIA is building the data factories to power it. And central to that, the Dex team at NVIDIA is leading the charge toward superhuman dexterity. We're looking for world class robotics researchers to help us discover, refine, and build the training infrastructure to unlock the potential of dexterous robots around the world.
What you'll be doing:
- Scaling RL training in sim for real-world deployment, and developing new scalable RL training paradigms for training skills foundation models.
- Studying high-dimensional sensor processing and multi-modal integration (stereo RGB, depth, tactile, proprioception).
- Working on bleeding edge sim-to-real dexterity training pipelines deployed to humanoids (upper torso and full body).
- Rigorous scientific analysis of tradeoffs in training methodologies.
- Coordinating closely with the simulation team on scalable simulation infrastructure and sensor simulations for training.
- Collaborate with other research teams throughout the company and transfer technology to product teams.
What we need to see:
- 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, especially with large-scale systems.
- Experience working with robotic hardware, in particular manipulators and multi-fingered hands.
- Creativity in solving problems and ambition to work steadily toward long-term visions.
Ways to stand from the crowd:
- 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, diffusion models.
- Full-stack experience with learning-based robotic systems and complex large-scale systems.
The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Today, NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as "the AI computing company."
Widely considered to be one of the technology world's most desirable employers, NVIDIA has some of the most forward-thinking and hardworking people in the world inventing the future for us. Are you a creative and collaborative robotics researcher seeking new challenges? If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 22, 2025.
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.
