Senior Research Engineer, Simulation
At a glance
Senior AI Research role at NVIDIA. US, CA, Santa Clara · full-time · $224,000–$356,500 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and keep robotics simulation environments running with frameworks such as MuJoCo and Isaac Lab
- Test robot control methods and XR teleoperation interfaces in simulated settings
- Create procedural pipelines for varied environments, object placements and robot movements
- Improve GPU physics simulation speed for large-scale training, and validate USD robot assets for sim-to-real use
- Connect simulation-to-real workflows and deploy trained models onto physical robots
What you bring
- A bachelor’s degree or higher in computer science, robotics, engineering or a related discipline
- At least ten years of full-time industry work involving robotics, physics simulation or both
- Practical experience with a physics simulator such as MuJoCo, Isaac Sim or another listed option
- Strong command of simulation methods, including contact behavior for manipulation and locomotion, and realistic rendering for perception
- Experience creating simulation assets and task definitions, plus Gym-style interfaces for neural-network training
Who this fits
This senior or principal-level role suits an experienced engineer focused on robotics and physics simulation. You’ll work on research projects involving simulated robots and transfer learned systems to physical hardware.
From the employer
NVIDIA is searching for a senior or principal engineer who specializes in physics simulation in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.
What you will be doing:
Develop and maintain simulation environments built on frameworks like MuJoCo, and Isaac Lab to support robotics research.
Implement and test control algorithms and XR teleoperation interfaces for simulated robots.
Build procedural generation pipelines for diverse environments, object layouts, and robot motions.
Optimize GPU-based physics simulator performance for large-scale training workloads.
Import, configure, and validate robot assets in USD format, ensuring successful sim2real transfer.
Implement Sim2Real pipelines and deploy learned models to physical robots.
What we need to see:
Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field;
10+ years of full-time industry experience on robotics and/or physics simulation;
Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception.
Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training.
Ways to stand out from the crowd:
Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field;
Experience at autonomous driving or humanoid robotics companies on physics simulation;
Hands-on experience with deploying and debugging neural network models on robotic hardware;
Expertise at reinforcement learning and neural network training;
Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment;
Contributions to popular open-source simulation frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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