Simulation Engineer, Industrial Physics and Robotics
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a senior technical leader who can help raise the fidelity, robustness, and practical value of our engineering simulation stack for robotics, automation, and industrial digital twins. Rather than focusing only on visual plausibility, this is a role for someone who has built simulation technology used to make decisions about real systems: robots, industrial equipment, vehicles, flexible assemblies, or other complex electromechanical systems. You should be comfortable turning ambiguous real-world behavior into tractable models, choosing the right level of fidelity for the problem, validating those models against data, and driving production-quality implementation in a modern AI-assisted accelerated-computing environment.
What you'll be doing:
Design and develop physically based simulation systems for robotics, industrial automation, and digital twins.
Collaborate with teams across PhysX, Newton, Omniverse, Isaac Sim, and Isaac Lab to bring higher-fidelity simulation capabilities into NVIDIA’s robotics and simulation platforms.
Develop and improve methods for multibody dynamics, contact and friction, flexible-body behavior, deformables, and numerical solvers.
Integrate simulation with robotics and engineering workflows involving ROS 2, CAD and URDF pipelines, OpenUSD assets, HIL/SIL environments, and controller-development loops.
Help scale advanced simulation algorithms on GPUs, mentor engineers, and provide technical leadership across the organization.
What we need to see:
B.Sc. (or equivalent experience) or M.Sc. or Ph.D. with 8+ years of experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.
A track record of building or leading simulation software used in production engineering, robotics, industrial machinery, automotive, aerospace, manufacturing, or adjacent domains.
Deep knowledge in several areas such as multibody dynamics, constrained systems, contact and friction, articulations, flexible bodies, cable or wire simulation, deformables, FEM, solver design, numerical integration, stiffness handling, or model reduction.
Experience validating simulators against physical systems, including test correlation, calibration, HIL/SIL workflows, controller co-simulation, or similar methods.
Working proficiency with robotics-system integration and mechanical-engineering toolchains, including ROS 2, Simulink, Simscape, and model pipelines based on CAD, URDF, MJCF, or OpenUSD.
Interest in applying modern AI-assisted and agentic development workflows to large-scale simulation systems.
Ways to stand out from the crowd:
Experience with GPU accelerated computing, including CUDA, Warp, or related technologies.
Experience with reinforcement learning, sim-to-real robotics workflows, or robotics simulation at scale.
Publications in ICRA, IROS, RSS, SCA, SIGGRAPH, NeurIPS, or related venues.
Experience balancing numerical robustness, scalability, and performance in production simulation systems.
Familiarity with Omniverse, PhysX, Newton, Isaac Sim, Isaac Lab, or industrial digital twin platforms.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/