Real Systems
Technology
SimulationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Simulation Engineer at Real Systems. Skills: Simulation systems, Robotics, Industrial automation, Digital twins, Multibody dynamics, GPU acceleration. Design physically based simulation systems. Develop physically based simulation systems”
Industry & Context.
Turning ambiguous behavior into models; Choosing model fidelity; Validating models against data
What They're Looking For.
Must Have
8+ years of experience, B. Sc. or equivalent experience, M. Sc. or Ph. D., Building simulation software, 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 proficiency with robotics-system integration, Working proficiency with mechanical-engineering toolchains, ROS 2 proficiency, Simulink proficiency, Simscape proficiency, CAD model pipelines, URDF model pipelines, MJCF model pipelines, OpenUSD model pipelines
Nice to Have
Experience with GPU accelerated computing, Experience with CUDA, Experience with Warp, Experience with reinforcement learning, Experience with sim-to-real robotics workflows, Experience with robotics simulation at scale, Publications in ICRA, Publications in IROS, Publications in RSS, Publications in SCA, Publications in SIGGRAPH, Publications in NeurIPS, Balancing numerical robustness, Balancing scalability, Balancing performance in simulation systems, Familiarity with Omniverse, Familiarity with PhysX, Familiarity with Newton, Familiarity with Isaac Sim, Familiarity with Isaac Lab, Familiarity with industrial digital twin platforms
What You'll Do.
Design physically based simulation systems
Develop physically based simulation systems
Collaborate with PhysX teams
Collaborate with Newton teams
Collaborate with Omniverse teams
Collaborate with Isaac Sim teams
Collaborate with Isaac Lab teams
Develop methods for multibody dynamics
Improve methods for multibody dynamics
Develop methods for contact and friction
Improve methods for contact and friction
Develop methods for flexible-body behavior
Improve methods for flexible-body behavior
Develop methods for deformables
Improve methods for deformables
Develop methods for numerical solvers
Improve methods for numerical solvers
Integrate simulation with robotics workflows
Integrate simulation with engineering workflows
Scale advanced simulation algorithms on GPUs
Provide technical leadership
How You'll Work.
Team & Collaboration
Cross-functional teams; Robotics platforms; Simulation platforms
Full Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a senior technical leader who can help raise the fidelity, robustness, and practical value of our engineering simulation stack for robotics, automation, and industrial digital twins. Rather than focusing only on visual plausibility, this is a role for someone who has built simulation technology used to make decisions about real systems: 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 AI-assisted accelerated-computing environment. **What you 'll be doing:** * 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 bring 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 involving ROS 2, CAD and URDF pipelin
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