Real Systems

Technology

SimulationEngineer

$184–357k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Simulation Engineer at Real Systems. Skills: Simulation systems, Robotics, Industrial automation, Digital twins. Design physically based simulation systems. Develop physically based simulation systems”

Industry & Context.

Technology
Problems you'll solve

Turning ambiguous real-world behavior into tractable models; Choosing the right level of fidelity for the problem; Validating models against data

What They're Looking For.

Must Have

8+ years of experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field, Track record of building or leading simulation software used in production engineering, robotics, industrial machinery, automotive, aerospace, manufacturing, or adjacent domains, Deep knowledge in 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, Experience validating simulators against physical systems, Working proficiency with robotics-system integration and mechanical-engineering toolchains, Interest in applying modern AI-assisted and agentic development workflows to large-scale simulation systems

Nice to Have

Experience with GPU accelerated computing, Experience with reinforcement learning, Experience with sim-to-real robotics workflows, Experience with 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 You'll Do.

Design physically based simulation systems

Develop physically based simulation systems

Collaborate with teams across PhysX

Bring higher-fidelity simulation capabilities into NVIDIA’s robotics and

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 across the organization

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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