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Contract Robotic Simulation Engineer Jobs in California

OpenAI

Simulation Infrastructure Engineer

San Francisco, CA · On-site

$230K - $385K/yr

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing ... About the Role We are hiring a Sim Infrastructure Engineer to turn simulation systems into reliable ...

1X

Software Engineer - Simulation

San Carlos, CA · On-site

Job Summary : 1X is building humanoid robots that assist in household chores, aiming to create a safe and efficient robotic solution for everyday tasks. The Software Engineer - Simulation will be ...

Luma

Simulation Researcher/Engineer

Redwood City, CA · On-site

You'll help define the simulation substrate Luma uses to train general-purpose robot policies - a faithful, controllable simulation of the world built on our generative video and 3D models. You'll ...

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Contract Robotic Simulation Engineer information

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

What are the key skills and qualifications needed to thrive as a contract robotic simulation engineer?

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

What are the most commonly searched types of Robotic Simulation Engineer jobs in California?

The most popular types of Robotic Simulation Engineer jobs in California are:

What are popular job titles related to Contract Robotic Simulation Engineer jobs in California?

For Contract Robotic Simulation Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Robotic Simulation Engineer jobs in California look for?

The top searched job categories for Contract Robotic Simulation Engineer jobs in California are:

What cities in California are hiring for Contract Robotic Simulation Engineer jobs?

Cities in California with the most Contract Robotic Simulation Engineer job openings:

Contract Robotic Simulation Engineer jobs near you

Senior Research Engineer, Simulation

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidiaexternal

Full-time

Re-posted 7 days ago

Job description

NVIDIA is searching for a senior or principal engineer who specializes in physics simulation in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation.

Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps. What you will be doing: Develop and maintain simulation environments built on frameworks like MuJoCo, and Isaac Lab to support robotics research.

Implement and test control algorithms and XR teleoperation interfaces for simulated robots. Build procedural generation pipelines for diverse environments, object layouts, and robot motions. Optimize GPU-based physics simulator performance for large-scale training workloads.

Import, configure, and validate robot assets in USD format, ensuring successful sim2real transfer. Implement Sim2Real pipelines and deploy learned models to physical robots. What we need to see: Bachelor's degree or above in Computer Science, Robotics, Engineering, or a related field; 10+ years of full-time industry experience on robotics and/or physics simulation; Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.

Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception. Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training. Ways to stand out from the crowd: Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field; Experience at autonomous driving or humanoid robotics companies on physics simulation; Hands-on experience with deploying and debugging neural network models on robotic hardware; Expertise at reinforcement learning and neural network training; Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment; Contributions to popular open-source simulation frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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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

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