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Robotics Simulation Jobs in California (NOW HIRING)

Divergent

Robotic Simulation Engineer

Torrance, CA · On-site

The ideal candidate will use their expertise in automated systems, industrial robotics, and off ... Create Simulation Studies in Process Simulate on Teamcenter (Tecnomatix) * Help create and maintain ...

Divergent

Robotic Simulation Engineer

Torrance, CA

The ideal candidate will use their expertise in automated systems, industrial robotics, and off ... Create Simulation Studies in Process Simulate on Teamcenter (Tecnomatix) * Help create and maintain ...

Divergent

Robotic Simulation Engineer

Torrance, CA · On-site

The ideal candidate will use their expertise in automated systems, industrial robotics, and off ... Create Simulation Studies in Process Simulate on Teamcenter (Tecnomatix) * Help create and maintain ...

DoorDash

Lead Simulation Engineer

San Francisco, CA · On-site

Experience integrating simulation environments with robotics autonomy stacks. * Proven experience architecting complex technical systems from scratch. * Demonstrated technical leadership as a ...

Advanced Robotics Group, LLC

Be Seen First

Autonomous Robotics Software Engineer

San Jose, CA · On-site

... simulation and real-world testing to validate system robustness and reliability · Build production-grade autonomy software from prototype to deployment · Collaborate with cross-functional ...

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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.

Senior Robotics Software Engineer, Simulation & Evaluation

FieldAI

Irvine, CA

$155K - $180K/yr

Full-time

Posted 28 days ago

Job description

About the Role

We are looking for a Robotics Simulation Software Engineer to build and improve Field AI’s internal simulation tools used for autonomy development, debugging, and evaluation.

This role is for someone who goes beyond simply running simulators. We are looking for an engineer who can maintain and extend simulation systems, improve code quality and fidelity, debug simulator-to-robot gaps, and help turn real-world robot behavior into reproducible simulation scenarios.

You will work closely with autonomy, infrastructure, and field teams to make simulation a practical part of the development loop: reproduce field issues, improve autonomy, and validate robot behavior before returning to the field.

What You’ll Get To Do

  • Maintain, refactor, and improve internal robotics simulation tools and infrastructure.

  • Improve simulation fidelity for autonomy evaluation, including robot behavior, sensor modeling, timing, terrain interaction, and environment representation.

  • Build workflows for scenario execution, log replay, regression testing, metrics, and visualization.

  • Develop real-to-sim workflows that turn field logs, reconstructed environments, and failure cases into reproducible simulation scenarios.

  • Work with autonomy and field teams to identify and debug gaps between simulated and real robot behavior.

  • Improve developer workflows around simulation performance, reproducibility, debugging, and test automation.

  • Contribute to the long-term simulation strategy for legged robots and humanoids operating in complex real-world environments.

What You Have

  • 3+ years of experience developing robotics simulation tools, simulation infrastructure, autonomy evaluation systems, or related robotics software.

  • Strong software engineering skills in C++ and/or Python.

  • Experience with simulation platforms such as Isaac Sim, Gazebo, MuJoCo, Unity, Unreal, or custom robotics simulators.

  • Familiarity with ROS2 or similar robotics middleware, including sensors, transforms, logs, and timing.

  • Experience with robot or simulation assets such as URDF, SDF, meshes, dynamics, or sensor models.

  • Ability to debug simulator-to-robot gaps across sensing, timing, dynamics, and autonomy behavior.

  • Comfortable working across research code, production robotics software, simulation infrastructure, and real-world robot deployment workflows.

What Will Set You Apart

  • Experience developing simulator plugins, custom sensor models, physics extensions, terrain/contact models, or environment authoring tools.

  • Experience with large-scale batch simulation, CI-based regression testing, deterministic replay, or scenario evaluation infrastructure.

  • Experience using real-world robot data to validate, tune, or improve simulation models.

  • Experience with software-in-the-loop, hardware-in-the-loop, log replay, or simulation correlation.

  • Experience with legged robots, humanoids, field robotics, or robots operating in unstructured environments.

  • Experience with Isaac Sim, Omniverse, USD, PhysX, ROS2, Docker, CMake, Bazel, or GitHub Actions.

What Will Set You Apart

  • Experience developing simulator plugins, custom sensor models, physics extensions, rendering pipelines, terrain/contact models, robot model generators, or environment authoring tools.

  • Experience building large-scale batch simulation, CI-based autonomy regression testing, deterministic replay, or scenario evaluation infrastructure.

  • Ability to use real-world robot data to validate, tune, or improve simulation models and autonomy evaluation workflows.

  • Experience with software-in-the-loop, hardware-in-the-loop, log replay, simulation correlation, or regression testing infrastructure.

Why Join Field AI

  • Build simulation systems that connect real-world robot deployment with faster, safer autonomy development.

  • Help turn field data into reproducible simulation scenarios and simulation results into more reliable deployed robots.

  • Work with a hands-on robotics team focused on autonomy in complex, unstructured, previously unknown environments.

  • Contribute to systems that are already being deployed globally and improving through real field experience.

Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. Witha decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or an

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.