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Robotics Simulation Jobs in California (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Fremont, CA

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

Sunnyvale, CA · On-site

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

Milpitas, CA

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

San Jose, CA

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

Fremont, CA · On-site

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

Milpitas, CA · On-site

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

TSMG

Robot Teleoperator (AI & Robotics)

San Jose, CA

Experience with gaming consoles, simulation platforms, or real-time control systems * Experience in robotics, AV/ADAS, drones, automation, or technical operations * Experience working in shift-based ...

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Robotics Simulation information

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
What are popular job titles related to Robotics Simulation jobs in California? For Robotics Simulation jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Simulation jobs in California look for? The top searched job categories for Robotics Simulation jobs in California are:
What cities in California are hiring for Robotics Simulation jobs? Cities in California with the most Robotics Simulation job openings:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Robotics Software Engineer Vision-Language-Action Models

Trener Robotics

San Jose, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Trener Robotics is seeking a Robotics Software Engineer specializing in robot learning and manipulation. The role involves designing, training, validating, and deploying manipulation skills on real robots, focusing on contact-rich tasks and integrating sensor-based control strategies.
Responsibilities:
• Develop, train, and deploy multimodal VLA and learned manipulation policies that solve contact-rich tasks, integrating sensor-based control strategies that combine vision, force-torque, and tactile feedback.
• Run the manipulation model lifecycle, conducting regular trials on real hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for imitation and reinforcement learning, continuously improving the robustness of contact-rich tasks.
• Build pipelines for continual learning, enabling policies to keep improving from new demonstrations and real-world deployment data over time.
• Stress-test and optimize the real-time execution framework for learned policies running on the robot.
Qualifications:
Required:
• A Master’s or PhD degree in robotics, computer science, machine learning, or a related field, or equivalent professional experience in robot learning and manipulation (e.g. visuomotor policy learning, imitation learning, applied reinforcement learning,, Vision-Language-Action models).
• Professional experience in Python and C++, with a proven track record of shipping production-quality code.
• Deep expertise with a modern ML framework (PyTorch preferred; JAX or TensorFlow also welcome).
• Direct experience testing and iterating on physical robots integrated with vision, force-torque, and tactile sensors.
• Experience with robotic simulation environments (MuJoCo, Isaac Sim, Drake, or similar).
• You thrive in the lab, spending significant time running hardware experiments and troubleshooting real-world edge cases.
• Business fluency in English.
Preferred:
• Experience manipulating and analyzing complex, large-scale, high-dimensional multimodal data from varying sources, with proficiency training models at scale on cloud-based workflows.
• Experience with edge deployment and model optimization for real-time control: low-latency inference, quantization, distillation, and pruning to meet tight control-loop rates on resource-constrained, on-robot hardware and accelerators.
• Contributions to robot learning through publications or open-source projects.
• Familiarity with ROS 2 and hands-on experience using industrial and collaborative robots from vendors such as Universal Robots, ABB, Fanuc, and KUKA.
• Experience with multibody dynamics simulators such as Adams.
Company:
Trener Robotics is a robot software company that uses the inference power to detect and execute tasks based on natural language commands Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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