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Research Intern - Robotic Hardware, Simulation And Data

Own research contributions and publications in robotics autonomy for next-generation autonomous systems
Sunnyvale, California, United States
Internship
1 week ago
Applied Intuition

Applied Intuition

Builds simulation, validation, and development tools that help engineers safely and efficiently develop, test, and deploy autonomous vehicle systems.

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Research Intern - Robotic Hardware, Simulation and Data

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.

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
  • 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.

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Research Intern - Robotic Hardware, Simulation And Data
Sunnyvale, California, United States
Intern
About Applied Intuition
Builds simulation, validation, and development tools that help engineers safely and efficiently develop, test, and deploy autonomous vehicle systems.