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Research Intern - Robotic Hardware, Simulation and Data

Join Applied Intuition as a Research Intern to work on cutting-edge technology in physical AI and robotics.

Location
Sunnyvale
Compensation
Not disclosed
Level
intern
Type
internship · On-site

Posted by employer 8 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 1 day ago

Apply at Applied Intuition → Save job Scanned from appliedintuition.com

Requirements

Education
PhD

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Joblaze summary

The Research Intern at Applied Intuition will engage in hands-on research across various domains, including humanoid robotics and large-scale simulation. Candidates should possess a strong academic background in machine learning, computer vision, or robotics, and be comfortable working both independently and as part of a team. This role is ideal for those pursuing advanced degrees who are passionate about advancing the field of autonomy and robotics. The team is composed of leading experts, fostering a collaborative environment focused on impactful research.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page November 2, 2026.
  • Machine Learning appears in 33.9% of 118 comparable intern ai/ml roles in United States; graphics appears in 1.7% of 118 comparable intern ai/ml roles in United States.

Quick facts

Is the Research Intern - Robotic Hardware, Simulation and Data role remote?
No — this is an on-site role in Sunnyvale.
Where is the role based?
Applied Intuition is hiring for this position in Sunnyvale.
What's the tech stack?
Joblaze extracted these technologies from the posting: Computer Vision, Machine Learning, Robotics, graphics.
What seniority level is this role?
Applied Intuition targets intern candidates for this position.
Is this full-time or contract?
Internship for this Research Intern - Robotic Hardware, Simulation and Data role at Applied Intuition.

From the original posting

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 contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research.

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 and support the team in one of the following areas

    • ​​Humanoid, general robotics and human data collection hardware experiences (both utilization and design)

    • Large-scale robotic simulation construction, deformable object simulation, and its utilization in RL training

    • Human data processing, retargeting, pose estimation, SLAM

  • 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

  • 1+ year of research experience in autonomy, self-driving, or related field

  • Passion for next-generation, scalable autonomy and robotics

Standard company text repeated across Applied Intuition's postings is omitted here.