PpAt NVIDIA, we build simulation technologies powering the future of robotics, industrial AI, autonomous systems, and digital twins. /p pNVIDIA Omniverse simulation technologies are used to power reinforcement learning systems, train robots, simulate factories and warehouses, and enable physically accurate digital twins. /p pAs simulation becomes foundational to robotics and industrial automation, the demands on physical fidelity are rapidly increasing. Automotive, aerospace, manufacturing, and robotics require simulations that go beyond visual plausibility and reach engineering-grade predictive accuracy. /p pWe are looking for a senior technical leader who can raise the fidelity, robustness, and practical value of our engineering simulation stack for robotics, automation, and industrial digital twins. Rather than focusing on visual plausibility, this is a role for someone who has already built simulation technology used to make decisions about real machines: 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 agentic AI-based accelerated-computing environment. /p pIn this role, you will help define and implement the next generation of high-fidelity simulation capabilities across NVIDIA’s robotics and industrial simulation stack. You will work on difficult mechanics problems that matter in the real world, including articulated machines, contact-rich interactions, frictional systems, deformable or compliant components, and flexible elements such as cables, wires, dresspacks, or harness-like assemblies. You will collaborate closely with teams across physics, robotics, digital twins, controls, and GPU software to turn advanced simulation methods into scalable developer and product capabilities. /p h3What You’ll Be Doing /h3 ul liDesign and develop advanced physically based simulation systems for robotics and industrial digital twins. /li liCollaborate with teams across PhysX, Newton, Omniverse, and Isaac robotics. /li liBring modern industrial and engineering simulation methodologies into NVIDIA’s scalable simulation stack. /li liDesign, evaluate, and improve methods for multibody dynamics, contact and friction, flexible-body behavior, deformables, and related numerical solvers. /li liIntegrate simulation with robotics workflows involving ROS 2, CAD and URDF pipelines, OpenUSD assets, HIL/SIL environments, and controller-development loops. /li liAssist GPU accelerated implementations and scale out of advanced simulation algorithms. /li liMentor engineers and contribute technical leadership across the organization. /li /ul h3What We Need To See /h3 ul liA track record of building or leading simulation software used in production engineering, robotics, industrial machinery, automotive, aerospace, manufacturing, or adjacent domains. /li li15+ years of relevant industry experience, demonstrating sustained impact in simulation development, system design, or engineering software at scale. /li liMaster’s or PhD degree in a relevant discipline (e.g., mechanical engineering, robotics, computer science, applied mathematics, or physics), or equivalent depth of expertise through professional experience. /li liDeep knowledge in several of the following areas: 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. /li liExperience validating simulators against physical systems, including some combination of test correlation, calibration, HIL/SIL workflows, or controller co-simulation. /li liWorking fluency in robotics-system integration and mechanical-engineering toolchains, including ROS 2, Simulink, Simscape, and model pipelines based on CAD, URDF, MJCF, or OpenUSD. /li liStrong interest in applying modern AI-assisted and agentic development workflows to large-scale simulation systems. /li liSignificant experience developing physically based simulation systems used in production engineering environments. /li liExcellent problem-solving and communication skills. /li /ul h3Ways To Stand Out From The Crowd /h3 ul liExperience with GPU-accelerated computing (e.g., CUDA, Warp) for high-performance simulation and parallel workloads. /li liExperience with reinforcement learning and sim-to-real robotics workflows, including integration with control systems. /li liPublications in leading venues such as ICRA, IROS, RSS, SCA, Eurographics, NeurIPS, or related conferences. /li liProven ability to design large-scale simulation systems that balance numerical robustness, scalability, and performance. /li liFamiliarity with robotics simulation and control, co-simulation, model-based design, neural surrogate models, and platforms such as Omniverse, PhysX, Newton, Isaac Sim Lab, alongside technical leadership or simulation architecture ownership. /li /ul pWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. /p /p #J-18808-Ljbffr