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Robotics Phd Internship Jobs (NOW HIRING)

Siemens

Advanced Robotics and AI Internship

Berkeley, CA · On-site

$44 - $54/hr

PhD or MS student in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or ... the internship Preferred Qualifications * Experience with sim-to-real transfer, domain ...

HELLBENDER Inc.

Internship - Robotics Engineer

Pittsburgh, PA · On-site

$16.25 - $21/hr

Robotics Engineering Internship Department : Engineering Report to: Engineering Manager Who we are ... We accept college masters and PhD level students. Please note that this is a full time, on-site ...

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How much do robotics phd internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for robotics phd internship in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a Robotics PhD Internship job?

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 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.

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.
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Robotics Phd Internship jobs near you
Infographic showing various Robotics Phd Internship job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA

$50 - $53/hr

Other

Posted 7 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.
 
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
 
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic systems.

$50 - $53 an hour
 
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic 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 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. 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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