Simulation Engineer, Industrial Physics and Robotics

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 enhance simulation capabilities.
• 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/URDF pipelines, OpenUSD assets, and HIL/SIL environments.
• Scale advanced simulation algorithms on GPUs and provide technical leadership and mentorship across the organization.

Requirements

• B.Sc., M.Sc., or Ph.D. in Computer Science, Robotics, Physics, Applied Math, or a related field.
• 8+ years of experience in simulation software or building simulation technology for real-world systems.
• Deep knowledge in multibody dynamics, constrained systems, contact/friction, articulations, or solver design.
• Experience validating simulators against physical systems using HIL/SIL workflows or test correlation.
• Proficiency with robotics-system integration tools including ROS 2, CAD, URDF, or OpenUSD.

Preferred Qualifications

• Experience with GPU accelerated computing, including CUDA or Warp.
• Experience with reinforcement learning, sim-to-real robotics workflows, or large-scale robotics simulation.
• Familiarity with NVIDIA platforms such as Omniverse, PhysX, Isaac Sim, or Isaac Lab.
• Publications in top-tier venues like ICRA, IROS, RSS, SIGGRAPH, or NeurIPS.

About the Company

NVIDIA is a global leader in accelerated computing, transforming industries through AI, robotics, and digital twin technology. We build the hardware and software that powers the next era of computing, from self-driving cars to industrial automation.