Simulation Engineer, Industrial Physics and Robotics

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a senior technical leader to enhance their engineering simulation stack for robotics, automation, and industrial digital twins. The role involves designing and developing physically based simulation systems, integrating them with robotics workflows, and scaling advanced simulation algorithms on GPUs. The ideal candidate will have a strong background in simulation technology used for real-world system decisions, experience in multibody dynamics, and validation against physical systems, with an interest in applying AI-assisted and agentic workflows.

What you'd actually do

  1. Design and develop physically based simulation systems for robotics, industrial automation, and digital twins.
  2. 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.
  3. Develop and improve methods for multibody dynamics, contact and friction, flexible-body behavior, deformables, and numerical solvers.
  4. Integrate simulation with robotics and engineering workflows involving ROS 2, CAD and URDF pipelines, OpenUSD assets, HIL/SIL environments, and controller-development loops.
  5. Help scale advanced simulation algorithms on GPUs, mentor engineers, and provide technical leadership across the organization.

Skills

Required

  • 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.
  • 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.
  • 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 have

  • 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.

What the JD emphasized

  • track record of building or leading simulation software used in production engineering
  • Experience validating simulators against physical systems
  • Working proficiency with robotics-system integration and mechanical-engineering toolchains

Other signals

  • AI-assisted accelerated-computing environment
  • applying modern AI-assisted and agentic development workflows
  • reinforcement learning, sim-to-real robotics workflows