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Robotics Phd Internship Jobs in Riverside, CA (NOW HIRING)

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS ... internships with daily hardware exposure * Hands‑on experience with robotic manipulation ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA

MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA

MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

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Robotics Phd Internship information

See Riverside, CA salary details

$9

$17

$24

How much do robotics phd internship jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for robotics phd internship in Riverside, CA is $17.81, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.05 per hour, depending on experience, location, and employer.

What is a robotics PhD internship?

A Robotics PhD Internship is a temporary research position designed for PhD students specializing in robotics, AI, machine learning, or related fields. Interns typically work on cutting-edge projects involving robot perception, motion planning, control systems, or human-robot interaction. These internships provide hands-on experience in applying theoretical research to real-world robotics challenges. They are often offered by tech companies, research labs, and universities, helping interns gain industry exposure and expand their professional network.

What types of projects and responsibilities can I expect during a robotics PhD internship?

As a Robotics PhD Intern, you'll typically work on cutting-edge research or development projects, such as designing new robotic algorithms, building and testing prototypes, or improving machine perception systems. Your day-to-day tasks may include coding, running simulations, analyzing data, conducting experiments, and reporting findings to your mentor or team. You'll often collaborate closely with experts from robotics, computer vision, and artificial intelligence disciplines, gaining insights from their practical and theoretical knowledge. This hands-on experience can enhance your research portfolio, provide networking opportunities, and help you apply academic learning to real-world challenges in robotics.

What are the key skills and qualifications needed to thrive in the robotics PhD internship position, and why are they important?

To thrive as a Robotics PhD Intern, you need strong research skills in robotics, machine learning, and algorithm development, typically supported by current enrollment in a PhD program in computer science, engineering, or a related field. Proficiency in programming languages such as Python or C++, robotics simulation tools like ROS or Gazebo, and relevant technical coursework is often required. Excellent problem-solving abilities, effective communication, and the ability to work both independently and within multidisciplinary teams are valuable soft skills. These competencies are essential for contributing meaningful research, collaborating on innovative projects, and advancing state-of-the-art robotics solutions.

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Robotics Phd Internship jobs near you
Infographic showing various Robotics Phd Internship job openings in Riverside, CA 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, with an average salary of $37,055 per year, or $17.8 per hour.

Robotics Engineer, Humanoid System Integration

Irvine, CA

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$179K/yr

Full-time

Re-posted 19 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment-ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows.
What You'll Do

  • Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.

  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.

  • Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.

  • Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.

  • Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks.

  • Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.

  • Harden research or prototype capabilities into maintainable, testable, deployment-ready modules.

What You Bring

  • MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems - research projects, competition robotics, or internships with daily hardware exposure.

  • Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome.

  • Strong hands-on experience integrating robotic systems on real hardware - must include physical hardware; simulation-only backgrounds will not be considered.

  • Strong C++ and Python skills in Linux-based robotics environments.

  • Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.

  • Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.

  • Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.

What Sets You Apart

  • You've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment - not just research or simulation.

  • You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.

  • You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.

  • You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one - and you've acted on that distinction.

Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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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