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Robotics Simulation Jobs in Riverside, CA (NOW HIRING)

Anduril Industries

Software Engineer, Robotics

Irvine, CA · On-site

$166K - $282K/yr

... simulation and test infrastructure, and interfaces with lower- and higher-level systems ... Work closely with Anduril and 3rd party robotic platform hardware teams, as well as operational ...

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All JobsRobotics Simulation JobsRobotics Simulation Jobs in Riverside, CA

Robotics Simulation information

See Riverside, CA salary details

$11.5K

$70.5K

$126.8K

How much do robotics simulation jobs pay per year?

As of Jun 26, 2026, the average yearly pay for robotics simulation in Riverside, CA is $70,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $82,900.00 per year, depending on experience, location, and employer.

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 job categories do people searching Robotics Simulation jobs in Riverside, CA look for? The top searched job categories for Robotics Simulation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Robotics Simulation jobs? Cities near Riverside, CA with the most Robotics Simulation job openings:
Robotics Simulation jobs near you

1.51 Robotics Autonomy Engineer - Locomotion

FieldAI

Irvine, CA • On-site

Full-time

Posted 6 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

About the Job:
 
Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer – Locomotion, you’ll lead the development and deployment of state-of-the-art reinforcement learning-based controllers for legged and humanoid robots. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation.If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)—this is your role. This is Field AI.
What You’ll Get To Do
  •  
1. Design and Own RL-Based Locomotion Pipelines
 
  • Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation.
  • Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows.
  • Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap.
 
2. Deploy Locomotion Behaviors on Physical Robots
 
  • Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware.
  • Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability.
  • Drive iterative testing across terrain variability and unstructured environments.
 
3. Build and Scale Simulation Infrastructure
 
  • Build scalable training environments using GPU-accelerated simulators. 
  • Automate evaluation across domain-randomized scenarios and domain adaptation protocols.
  • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility.
 
4. Collaborate Across the Full Robotics Stack
 
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to continuously improve model generalization.
  • Lead deployment workflows from experiment through lab testing to field robot validation.
What You Have
  • Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred).
  • Deep expertise in reinforcement learning for continuous control.
  • 2+ years of experience developing and deploying locomotion policies on real robotic systems.
  • Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons).
  • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Strong command of sim-to-real transfer — domain randomization, system identification, adaptive methods, and a track record of bridging the gap successfully.
  • Solid understanding of contact dynamics, control theory, and kinematics.
  • Strong Python and/or C++ development skills in Linux-based development environments.
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow).
  • A passion for building things that move in the real world.
The Extras That Set You Apart
  • 3+ years of experience in an industry or startup robotics setting.
  • Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute).
  • Publications or open-source contributions in locomotion, RL, or control.
  • Familiarity with ROS/ROS2 or custom middleware for real-time control.
  • Background in manipulation, loco-manipulation, or whole-body coordination.
  • Experience debugging sim-to-real issues at scale.
  • Contributions to reinforcement learning libraries or simulation platforms.
  • Prior work on multi-agent learning or terrain-adaptive control systems.
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and 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. With a 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 Mission Viejo (Irvine adjacent), 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 any other legally protected status.

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.