Real Machines
Robotics
PrincipalSimulationEngineer,IndustrialPhysicsandRobotics
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Simulation Engineer, Industrial Physics and Robotics at Real Machines. Skills: Simulation technology, Robotics simulation, Industrial simulation, Physics simulation. Design physically based simulation systems. Develop physically based simulation systems”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
15+ years industry experience, Master's or PhD degree, Deep knowledge in multibody dynamics, Deep knowledge in constrained systems, Deep knowledge in contact and friction, Deep knowledge in articulations, Deep knowledge in flexible bodies, Deep knowledge in cable or wire simulation, Deep knowledge in deformables, Deep knowledge in FEM, Deep knowledge in solver design, Deep knowledge in numerical integration, Deep knowledge in stiffness handling, Deep knowledge in model reduction, Experience validating simulators against physical systems, Working fluency in ROS 2, Working fluency in Simulink, Working fluency in Simscape, Working fluency in CAD pipelines, Working fluency in URDF pipelines, Working fluency in OpenUSD pipelines, Significant experience developing physically based simulation systems, Excellent problem-solving skills, Excellent communication skills
Nice to Have
Experience with GPU-accelerated computing, Experience with reinforcement learning, Experience with sim-to-real robotics workflows, Publications in leading venues, Proven ability to design large-scale simulation systems, Familiarity with robotics simulation, Familiarity with robotics control, Familiarity with co-simulation, Familiarity with model-based design, Familiarity with neural surrogate models, Familiarity with Omniverse, Familiarity with PhysX, Familiarity with Newton, Familiarity with Isaac Sim & Lab, Simulation architecture ownership
What You'll Do.
Design physically based simulation systems
Develop physically based simulation systems
Collaborate with physics teams
Collaborate with robotics teams
Collaborate with digital twins teams
Collaborate with controls teams
Collaborate with GPU software teams
Bring simulation methodologies into stack
Design methods for multibody dynamics
Evaluate methods for multibody dynamics
Improve methods for multibody dynamics
Design methods for contact and friction
Evaluate methods for contact and friction
Improve methods for contact and friction
Design methods for flexible-body behavior
Evaluate methods for flexible-body behavior
Improve methods for flexible-body behavior
Design methods for deformables
Evaluate methods for deformables
Improve methods for deformables
Design methods for numerical solvers
Evaluate methods for numerical solvers
Improve methods for numerical solvers
Integrate simulation with robotics workflows
Integrate simulation with ROS 2
Integrate simulation with CAD pipelines
Integrate simulation with URDF pipelines
Integrate simulation with OpenUSD assets
Integrate simulation with HIL environments
Integrate simulation with SIL environments
Integrate simulation with controller-development loops
Assist GPU accelerated implementations
Scale out advanced simulation algorithms
Contribute technical leadership
How You'll Work.
Team & Collaboration
Cross-functional teams; Physics teams; Robotics teams; Digital twins teams; Controls teams; GPU software teams
Full Job Description
At NVIDIA, we build the simulation technologies powering the future of robotics, industrial AI, autonomous systems, and digital twins. NVIDIA Omniverse simulation technologies are used to power reinforcement learning systems, train robots, simulate factories and warehouses, and enable physically accurate digital twins. As 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. We 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. In 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. ##
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