Simulation Engineer, Industrial Physics and Robotics

About the role

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.

What you'll do

• 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.

Requirements

• 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.

Preferred qualifications

• 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.

Benefits

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