Simulation Engineer, Industrial Physics and Robotics

NVIDIA•Santa Clara, CA

1d•$184,000 - $356,500•Onsite

About The Position

NVIDIA is seeking a senior technical leader to enhance the fidelity, robustness, and practical value of its engineering simulation stack for robotics, automation, and industrial digital twins. This role focuses on building simulation technology used for decision-making in real-world systems like robots, industrial equipment, vehicles, and complex electromechanical systems, rather than solely on visual realism. The ideal candidate will be adept at translating ambiguous real-world behavior into tractable models, selecting appropriate fidelity levels, validating models against data, and implementing production-quality solutions within an AI-assisted accelerated-computing environment.

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.

Nice To Haves

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.

Responsibilities

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 integrate 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, including ROS 2, CAD and URDF pipelines, OpenUSD assets, HIL/SIL environments, and controller-development loops.
Scale advanced simulation algorithms on GPUs.
Mentor engineers and provide technical leadership across the organization.