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Internship Robotics Simulator Jobs in California

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

Demonstrated research and software engineering experience via an internship, work experience ... Experience working with robot simulations and real-world hardware * Experience working and ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

Experience working with robot simulations and real-world hardware * Experience working and ... Demonstrated research and software engineering experience via an internship, work experience ...

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Internship Robotics Simulator information

What is the difference between Internship Robotics Simulator vs Robotics Engineer?

AspectInternship Robotics SimulatorRobotics Engineer
CredentialsEnrolled in or recent graduate of engineering or computer science programsBachelor's or master's degree in robotics, mechanical, electrical, or computer engineering
Work EnvironmentEducational or training settings, simulation labs, or remoteResearch labs, manufacturing facilities, or corporate offices
Industry UsageLearning and training in robotics simulation softwareDesign, develop, and test real robotic systems

The Internship Robotics Simulator role focuses on gaining experience through simulation tools and educational environments, while Robotics Engineers work on designing and implementing actual robotic systems in professional settings. Both roles share foundational knowledge but differ in scope and responsibilities.

What does an internship robotics simulator do?

An Internship Robotics Simulator typically involves working with software that models the behavior of robots in virtual environments. Interns in this role help design, develop, and test robotics simulations to evaluate algorithms, sensor integrations, or robot movements without needing physical hardware. This allows for rapid prototyping, debugging, and validation of robotic systems. Interns may assist engineers by creating simulation scenarios, analyzing results, and improving simulation fidelity. The role is ideal for students or recent graduates interested in robotics, computer science, or related engineering disciplines.

What are the key skills and qualifications needed to thrive as an internship robotics simulator, and why are they important?

To excel as an Internship Robotics Simulator, you need a background in robotics, mechanical or electrical engineering, and programming fundamentals, often supported by current enrollment in a relevant degree program. Familiarity with simulation tools like Gazebo, MATLAB/Simulink, or ROS, as well as coding languages such as Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are soft skills that help interns stand out. These competencies are essential for accurately modeling robotic systems, collaborating on innovative projects, and translating simulated results into real-world applications.

What types of projects or tasks can I expect to work on during an internship in robotics simulation?

As an intern in robotics simulation, you'll typically work on developing, testing, and troubleshooting virtual models of robots within simulation environments like Gazebo, ROS, or V-REP. Your tasks may include writing scripts to automate robot behaviors, creating and refining simulation scenarios, and assisting in integrating sensors or actuators into simulated robots. Expect close collaboration with engineers and researchers, as you'll often help validate algorithms before they're tested on real hardware. This hands-on experience provides valuable exposure to both software development and robotics engineering challenges.
What are the most commonly searched types of Robotics Simulator jobs in California? The most popular types of Robotics Simulator jobs in California are:
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Internship Robotics Simulator jobs near you
Infographic showing various Internship Robotics Simulator job openings in California as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Robotics Research Internship-Locomotion & Planning (Fall 2026)

FieldAI

Irvine, CA

$45 - $60/hr

Other

Re-posted 20 days ago

Job description

About the Internship
 
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. 
 
We are offering a Summer 2026 internship focused on learning-based locomotion and planning for PhD students interested in advancing autonomous legged robot capabilities. As a research intern, you will work at the intersection of reinforcement learning, locomotion control, and learned planning, developing integrated systems that enable robots to move and navigate intelligently through complex, unstructured environments.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop locomotion and planning systems, and validate ideas in simulation and on real hardware. This internship emphasizes building tightly integrated learning-based systems that connect low-level locomotion with high-level planning, translating research into practical, deployable capabilities for real-world robotics.
What You'll Get To Do
  •  
Advance RL-Based Locomotion and Learned Planning Research
 
  • Design, implement, and evaluate reinforcement learning pipelines that tightly integrate locomotion control with learning-based planning.
  • Explore how learned planners can inform and adapt locomotion behaviors across varied terrain and dynamic conditions.
  • Contribute to research projects from early-stage ideas through simulation experiments and on-robot validation.
 
Bridge Locomotion and Planning Across the Sim-to-Real Gap
 
  • Develop and refine sim-to-real transfer strategies, including domain randomization, system identification, and adaptive methods, for integrated locomotion-planning systems.
  • Build and leverage GPU-accelerated simulation environments (Isaac Gym, Isaac Lab, MuJoCo) for scalable training and evaluation.
  • Test and iterate on policies using real legged robot platforms in unstructured environments.
 
Build Systems That Connect Research to Deployment
 
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection, evaluation, and reproducibility.
  • Help ensure locomotion and planning systems are robust, field-relevant, and ready for iterative improvement.
 
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 refine models and improve generalization.
  • Engage with researchers and engineers across the team to align experiments with broader autonomy goals.
 
Rapidly Iterate and Learn
 
  • Prototype quickly, run experiments in simulation and on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning simulation, software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in reinforcement learning for continuous control, locomotion, or learning-based planning.
  • Strong foundation in contact dynamics, control theory, and kinematics.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Familiarity with physics-based simulators such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in building autonomous systems that operate in the real world.
The Extras That Set You Apart
  • Hands-on experience with legged robot platforms (quadrupeds, wheeled-quadrupeds, bipedal systems, or exoskeletons).
  • Experience with sim-to-real transfer for locomotion or planning policies.
  • Background in learning-based planning, motion planning, or terrain-adaptive control.
  • Familiarity with ROS or ROS2.
  • Publications, preprints, or open-source contributions in locomotion, RL, planning, or control.
  • Experience deploying neural network controllers on resource-constrained or real-time robotic platforms.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$45 - $60 an hour
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. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
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.
 
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.
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