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Robotics Phd Intern information

What does a Robotics PhD Intern do?

A Robotics PhD Intern typically works on advanced research and development projects related to robotics, such as designing algorithms, building prototypes, and conducting experiments. They collaborate with senior researchers and engineers, contribute to academic publications, and may present their findings at conferences. The internship is designed to provide hands-on experience in applying theoretical knowledge to solve real-world robotics challenges, often in areas like machine learning, computer vision, or control systems.

What are the key skills and qualifications needed to thrive as a Robotics PhD Intern, and why are they important?

To thrive as a Robotics PhD Intern, you need advanced knowledge of robotics, machine learning, and algorithm development, usually supported by ongoing doctoral studies in robotics, computer science, or a related field. Proficiency with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and relevant research methodologies is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills help interns excel in research teams. These skills and qualities are crucial for driving innovation, contributing to cutting-edge projects, and effectively translating research into practical robotics solutions.

What is the difference between Robotics Phd Intern vs Robotics Engineer?

AspectRobotics Phd InternRobotics Engineer
Required CredentialsPhD candidate or recent PhD graduate in robotics, engineering, or related fieldBachelor's or Master's in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, corporate R&D departmentsIndustrial settings, manufacturing, technology companies, startups
Employer & Industry UsageUniversities, research institutions, corporate R&D teamsTech companies, manufacturing firms, automation industries

The main difference between a Robotics Phd Intern and a Robotics Engineer lies in experience, focus, and employment setting. Interns are typically pursuing or have recently completed a PhD and focus on research and development in academic or corporate labs. Robotics Engineers usually hold a bachelor's or master's degree and work on designing, developing, and implementing robotic systems in industrial environments.

What types of projects and daily tasks can a Robotics PhD Intern expect to work on during their internship?

As a Robotics PhD Intern, you will typically engage in cutting-edge research and development projects, often contributing to areas such as computer vision, machine learning, sensor integration, or autonomous navigation. Daily tasks may include designing and running experiments, analyzing data, developing algorithms, and collaborating closely with multidisciplinary teams of engineers and researchers. Interns often present findings in team meetings and participate in code reviews, gaining valuable feedback and exposure to real-world robotics challenges. This hands-on experience is an excellent opportunity to bridge academic research with industry applications, preparing you for future roles in robotics or advanced R&D.
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Infographic showing various Robotics Phd Intern job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Research Intern - World-Action Foundation Model, Robotics

Research Intern - World-Action Foundation Model, Robotics

Applied Intuition

Sunnyvale, CA โ€ข On-site

Other

Posted 19 days ago


Job description

Research Intern

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role:

We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributionsโ€”including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA.

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, you will:
  • Conduct research on pretraining world-action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
  • Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
  • Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
We're looking for someone who has:
  • Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
  • Passion for next-generation, scalable autonomy and robotics

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.