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Sensor Calibration & Integration Intern

RaiLeverZurich
Posted 31 AugFound 14 OctSeen 19 minutes ago

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The Posting

Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

What You'll Do

  • Play a key role in developing a seamless, user-friendly calibration suite for our multi-modal sensor systems, including RGB cameras, LiDARs, and IMUs.
  • Work collaboratively with researchers focused on providing a solid foundation for building advanced robotic systems.
  • Provide solutions to complex problems targeting robots deployed in the real world.
  • Design complex systems and make them easy to use.
  • Apply classical optimization as well as learning algorithms to practical robotics problems.

What You'll Need

  • Master or PhD student in robotics, computer vision, or a related field.
  • Proficiency in C++ and Python is a must.
  • Solid understanding of state estimation and optimization techniques.
  • Familiarity with factor graph optimization, ideally including experience with GTSAM.
  • Interest in building robust tools that support robotics research.

Areas of Special Interest

  • Experience with learning-based calibration techniques.
  • Open source projects that showcase your problem solving skills, ideally in the field of robotics, computer vision or a related field.
  • Track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields is a plus

(e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, ICRA, IROS etc.)

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Facts

Source
Lever
External id
7add1b9b-aa30-4d93-8cef-2c0a57e6d11f
Location
Zurich, Switzerland
Remote
On-site, from the posting
Employment
Internship
Posted
31 Aug 2026, 18:56
First seen
14 Oct 2026, 16:33
Last seen
2 Nov 2026, 11:21
Status
Not yet added
Posting id
796a131f-4791-5ae0-9037-6323efaad0f4