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Fall Internship Robotics Jobs in California (NOW HIRING)

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Mechanical Engineer Intern [Fall 2026]

San Jose, CA · On-site

$22 - $29.50/hr

We are looking for a Mechanical Engineering intern for Fall 2026 to design, test, and implement key hardware components for our humanoid robot. This internship is designed for students in their final ...

Figure

Mechanical Engineer Intern [Fall 2026]

San Jose, CA

$22 - $29.50/hr

We are looking for a Mechanical Engineering intern for Fall 2026 to design, test, and implement key hardware components for our humanoid robot. This internship is designed for students in their final ...

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Firmware Intern [Fall 2026]

San Jose, CA · On-site

$40 - $45/hr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Minimum 10 weeks internship, 1 to 2 terms preferred * Fluent in C, C++, and Python * Experience ...

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Firmware Intern [Fall 2026]

San Jose, CA

$40 - $45/hr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Minimum 10 weeks internship, 1 to 2 terms preferred * Fluent in C, C++, and Python * Experience ...

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Special Projects Intern [Fall 2026]

San Jose, CA

$40 - $45/hr

... during Fall 2026. This role works directly with engineers and operations leads to bring humanoid ... Robotics, Computer Engineering, or a related field. * Minimum 10 weeks internship, 1 to 2 terms ...

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Special Projects Intern [Fall 2026]

San Jose, CA · On-site

$40 - $45/hr

... during Fall 2026. This role works directly with engineers and operations leads to bring humanoid ... Robotics, Computer Engineering, or a related field. * Minimum 10 weeks internship, 1 to 2 terms ...

Odin Dynamics, Inc

Fall Engineering Intern

Los Angeles, CA · On-site

$18 - $23.50/hr

This isn't a shadow and observe internship, you'll be embedded on a small team working on real ... Personal or academic projects in robotics, autonomous systems, or marine/aerospace engineering.

Figure

Validation Engineering Intern [Fall 2026]

San Jose, CA · On-site

$19.75 - $25.50/hr

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed ... This internship is designed for students in their final year of an undergraduate or master ...

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Hardware Test Intern [Fall 2026]

San Jose, CA · On-site

$35 - $45/hr

Pursuing a degree in Mechanical, Robotics, Mechatronics, Electrical or a related engineering field, with at least two years completed by the start of the internship * Demonstrated hands-on experience ...

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Hardware Test Intern [Fall 2026]

San Jose, CA

$35 - $45/hr

Pursuing a degree in Mechanical, Robotics, Mechatronics, Electrical or a related engineering field, with at least two years completed by the start of the internship * Demonstrated hands-on experience ...

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All JobsFall Robotics JobsFall Internship Robotics JobsFall Internship Robotics Jobs in California

Fall Internship Robotics information

What is a fall internship in robotics?

A Fall Internship in Robotics is a temporary, hands-on learning opportunity offered by companies or research institutions during the autumn months, typically for students or recent graduates interested in robotics. Interns work on real-world projects involving robotics hardware, software, automation, or artificial intelligence, gaining practical experience and industry exposure. These internships help participants develop technical skills, build professional networks, and enhance their resumes for future career opportunities in robotics or related fields.

What types of projects do fall internship robotics interns typically work on?

Fall Internship Robotics interns are often assigned to hands-on projects such as developing prototype components, writing and testing code for robotic systems, or assisting with sensor integration. These projects are designed to align with the team's current goals and give interns the opportunity to make meaningful contributions. Interns usually collaborate closely with engineers and fellow interns, gaining practical experience while learning industry-standard tools and workflows. The collaborative environment also helps interns develop communication skills and build a professional network within the robotics field.

What are the key skills and qualifications needed to thrive as a fall internship robotics?

To thrive as a Fall Internship Robotics, you typically need a background in engineering or computer science, with coursework in robotics, programming, and mathematics. Familiarity with programming languages such as Python or C++, robotics platforms like ROS, and hands-on experience with hardware or simulation tools are highly valued. Strong problem-solving skills, teamwork, and effective communication help interns adapt to collaborative, project-driven environments. These competencies enable interns to contribute meaningfully to robotics projects and maximize learning during the internship.

What is the difference between Fall Internship Robotics vs Fall Internship Mechanical Engineering?

AspectFall Internship RoboticsFall Internship Mechanical Engineering
Required CredentialsRelevant coursework, technical skills, possibly some certifications in robotics or programmingEngineering fundamentals, CAD skills, possibly certifications in mechanical design
Work EnvironmentTechnology labs, robotics workshops, collaborative teamsManufacturing floors, design studios, engineering labs
Employer & Industry UsageRobotics companies, tech startups, research labsManufacturing firms, engineering consultancies, industrial companies
Common Search & Comparison IntentUnderstanding internship roles in roboticsExploring mechanical engineering internship opportunities

Fall Internship Robotics focuses on hands-on experience with robotics systems, programming, and automation projects, often in tech or research environments. Fall Internship Mechanical Engineering emphasizes design, analysis, and manufacturing processes in traditional engineering settings. Both internships require engineering fundamentals but differ in technical focus and work environment, catering to different career paths within engineering industries.

What are popular job titles related to Fall Internship Robotics jobs in California?

For Fall Internship Robotics jobs in California, the most frequently searched job titles are:

What job categories do people searching Fall Internship Robotics jobs in California look for?

The top searched job categories for Fall Internship Robotics jobs in California are:

What cities in California are hiring for Fall Internship Robotics jobs?

Cities in California with the most Fall Internship Robotics job openings:

Fall Internship Robotics jobs near you
Infographic showing various Fall Internship Robotics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Internship - Robot Control Systems (Fall 2026)

FieldAI

Irvine, CA

$47 - $53/hr

Full-time, Internship

Re-posted 28 days ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We're looking for a Robotics Controls Intern to join our autonomy team and work directly alongside our senior engineers to tackle complex control challenges for large-scale, off-road vehicles. In this highly impactful internship, you will help bridge the gap between advanced control theory and field-deployable products. You will dive into system dynamics modeling, optimize GPU-accelerated control libraries, and develop computationally constrained control schemes for heterogeneous platforms, ranging from massive off-road vehicles to smaller, resource-limited robotic systems. Furthermore, you will play a critical role in designing and implementing low-latency safety layers that protect our robots in both tele-operated and fully autonomous modes. This is a hands-on role for a driven researcher or engineer who wants to see their code running on real vehicles in extreme, unstructured environments.

What You Have 

  • Currently pursuing a Ph.D. or Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a highly related field with a focus on control systems.

  • Deep theoretical understanding and practical experience with advanced control methodologies, particularly predictive and sampling-based control (e.g., MPPI, MPC).

  • Strong proficiency in GPU programming (specifically CUDA) with a track record of accelerating and optimizing complex algorithms for real-time execution.

  • Hands-on experience taking control algorithms out of simulation and deploying them onto physical robots in real-world environments.

  • Experience with system dynamics modeling, system identification, and training learning models for robotic platforms.

  • Strong software engineering skills in C++ and Python, with the ability to write clean, deployable code for robotics applications.

  • Hands-on experience with Linux, ROS1/2 and  Docker

The Extras That Set You Apart

  • Experience working with large-scale, off-road, or high-speed autonomous wheeled vehicles in unstructured environments.

  • Experience designing and implementing low-latency safety layers or safety controllers for autonomous or tele-operated systems.

  • Demonstrated ability to reduce compute costs and adapt computationally heavy control schemes for hardware-constrained systems.

  • Experience maintaining or significantly contributing to open-source robotics control libraries.

  • Familiarity working within established, fast-paced autonomy engineering teams and seamlessly integrating with existing software stacks.

  • Knowledge of containerization (Kubernetes) and modern DevOps practices.

$47 - $53 an hour

Compensation

The salary range for this role is $47.00-$53.00/hr. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 

 
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 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 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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