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Internship Ros Developer Jobs in California (NOW HIRING)

Aurora Innovation

Software Engineer I

Mountain View, CA · On-site

$116K - $174K/yr

At least 1-2 years of relevant experience, which can be demonstrated through multiple internships ... Experience with ROS/ROS2, microcontrollers (Arduino/STM32/ESP32), or hobbyist robotics.

AeroVect

Autonomy Intern

San Francisco, CA

... Engineering interns who are eager to bring autonomous driving systems to life from the ground up ... Experience with ROS Ideal Qualifications * Advanced research experience in vehicle autonomy or ...

AeroVect

Autonomy Intern

San Francisco, CA · On-site

... Engineering interns who are eager to bring autonomous driving systems to life from the ground up ... Experience with ROS Ideal Qualifications * Advanced research experience in vehicle autonomy or ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA

... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ... Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase * Demonstrated ability ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA

... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ... Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase * Demonstrated ability ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ... Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase * Demonstrated ability ...

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Internship Ros Developer information

What are the key skills and qualifications needed to thrive as an Internship ROS Developer, and why are they important?

To thrive as an Internship ROS Developer, you need a solid understanding of robotics fundamentals, programming skills in Python and C++, and familiarity with the Robot Operating System (ROS) framework. Experience using ROS tools (such as RViz and Gazebo), Linux operating systems, and version control systems like Git is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for success in collaborative robotics projects. These skills ensure you can contribute effectively to real-world robotics solutions, learn rapidly, and integrate well within development teams.

What is the difference between Internship Ros Developer vs ROS Developer?

AspectInternship ROS DeveloperROS Developer
CredentialsTypically pursuing or recently completed relevant educationProfessional experience, certifications may be preferred
Work EnvironmentInternship programs, entry-level projectsFull-time roles in robotics companies or research labs
Industry UsageTraining and learning phase, supervised tasksDesigning, developing, and maintaining robotic systems
Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesSeeking experienced roles, project responsibilities

The main difference between an Internship ROS Developer and a ROS Developer lies in experience and responsibilities. Internships focus on learning and gaining initial exposure to ROS development, often under supervision. In contrast, ROS Developers are experienced professionals responsible for designing and implementing robotic systems independently. Both roles are essential in the robotics industry, with internships serving as stepping stones toward full-time ROS development careers.

What types of projects or tasks can I expect to work on as an Internship ROS Developer?

As an Internship ROS Developer, you will typically be involved in hands-on projects such as developing, testing, and debugging robotics software using the Robot Operating System (ROS) framework. Your daily tasks may include writing ROS nodes, integrating sensors and actuators, and simulating robot behaviors. You may also collaborate closely with engineers and researchers to implement new algorithms or enhance existing robotic systems. This role offers a dynamic environment where you can learn about both software engineering and robotics hardware, making it a valuable stepping stone for a future robotics career.

What are Internship ROS Developers?

Internship ROS Developers are students or early-career professionals who work as interns to gain hands-on experience with the Robot Operating System (ROS). Their main responsibilities typically include assisting with the design, development, and testing of robotic software using ROS. They often work under the supervision of experienced robotics engineers and contribute to real-world robotics projects. This internship helps them build essential skills in programming, robotics, and teamwork, and can be a stepping stone to a full-time role in robotics or automation.
What are the most commonly searched types of Ros Developer jobs in California? The most popular types of Ros Developer jobs in California are:
What are popular job titles related to Internship Ros Developer jobs in California? For Internship Ros Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Ros Developer jobs in California look for? The top searched job categories for Internship Ros Developer jobs in California are:
What cities in California are hiring for Internship Ros Developer jobs? Cities in California with the most Internship Ros Developer job openings:
Internship Ros Developer jobs near you
Infographic showing various Internship Ros Developer job openings in California as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Robotics Research Internship-Locomotion & Planning (Fall 2026)

FieldAI

Irvine, CA • On-site

$45 - $60/hr

Full-time, Internship

Re-posted 16 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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