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Full Time Game Simulation Programming Jobs in California

Senior Simulation Engineer

Los Angeles, CA · On-site

$170K - $214K/yr

... in programming languages such as C/C++, Rust, Python. • Comfortable operating and developing ... What We Offer For Full-time Employees: * Shared upside: Receive equity in Apex, letting you benefit ...

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... As our established modeling and simulation developer, you will contribute expertise in simulation ...

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Showing results 1-20

Full Time Game Simulation Programming information

What is the difference between Full Time Game Simulation Programming vs Game Software Developer?

AspectFull Time Game Simulation ProgrammingGame Software Developer
Primary FocusDeveloping realistic simulation models and physics for gamesCreating overall game software, including gameplay, UI, and mechanics
Required SkillsPhysics, mathematics, simulation algorithms, programmingProgramming, game design, software engineering, UI/UX
Work EnvironmentGame studios, simulation labs, research environmentsGame studios, tech companies, independent developers
Common CertificationsComputer science, software engineering, specialized physics or simulation coursesComputer science, software development certifications, game design courses

While both roles involve programming and software development within the gaming industry, Full Time Game Simulation Programming specializes in creating realistic physics and simulation models, whereas Game Software Developers focus on overall game creation, including gameplay mechanics and user interfaces. Understanding these differences helps professionals choose the right career path or job focus within the gaming industry.

What are the most commonly searched types of Game Simulation Programming jobs in California? The most popular types of Game Simulation Programming jobs in California are:
What are popular job titles related to Full Time Game Simulation Programming jobs in California? For Full Time Game Simulation Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Game Simulation Programming jobs in California look for? The top searched job categories for Full Time Game Simulation Programming jobs in California are:
What cities in California are hiring for Full Time Game Simulation Programming jobs? Cities in California with the most Full Time Game Simulation Programming job openings:
Infographic showing various Full Time Game Simulation Programming job openings in California as of June 2026, with employment types broken down into 7% Full Time, 91% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Simulation Engineer, Industrial Physics and Robotics

Simulation Engineer, Industrial Physics and Robotics

Nvidia

Santa Clara, CA

Full-time

Posted 7 days ago


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 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.

What we need to see:

  • 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.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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.

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 committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993