Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms @ 4
Leadership @ 4
Technical Leadership @ 4
CUDA @ 4
GPU @ 4
AI @ 4
Reinforcement Learning @ 4
Robotics @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. 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. This role focuses on building simulation technology used to make decisions about real systems: robots, industrial equipment, vehicles, flexible assemblies, or other complex electromechanical systems.
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 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 pipelines, OpenUSD assets, HIL/SIL environments, and controller-development loops.
- Help scale advanced simulation algorithms on GPUs, mentor engineers, and provide technical leadership across the organization.
Requirements
- B.Sc. (or equivalent experience) or M.Sc. or Ph.D. with 8+ years of experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.
- A track record of building or leading simulation software used in production engineering, robotics, industrial machinery, automotive, aerospace, manufacturing, or adjacent domains.
- Deep knowledge in several areas such as 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, including test correlation, calibration, HIL/SIL workflows, controller co-simulation, or similar methods.
- Working proficiency with robotics-system integration and mechanical-engineering toolchains, including ROS 2, Simulink, Simscape, and model pipelines based on CAD, URDF, MJCF, or OpenUSD.
- Interest in applying modern AI-assisted and agentic development workflows to large-scale simulation systems.
Ways to stand out from the crowd
- Experience with GPU-accelerated computing, including CUDA, Warp, or related technologies.
- Experience with reinforcement learning, sim-to-real robotics workflows, or 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.
Compensation & Benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Other information
- Applications for this job will be accepted at least until June 6, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.