Internship in Motion Generation for Agricultural Robotics (f/m/x)

ZEISS

Weitere: IT

Praktikum

Ohne Berufserfahrung

Vollzeit

As a student, you work with your colleagues on an equal footing and create ideal conditions for your future career.

Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes.

Turning today’s research into tomorrow’s applications – together.

At ZEISS, we focus on user-centric innovation to transform ideas into cutting-edge solutions. At the ZEISS Innovation Hub@KIT, we foster collaboration between students, researchers, entrepreneurs, and ZEISS employees to drive technological advancements.

You don’t just want to learn robotics in lectures – you want to see it working on real robots in real greenhouses? In our newly established AgTech team, you will work on mobile robots operating in high-end greenhouses and help us rethink agriculture through intelligent automation. This internship gives you the opportunity to join a strategic initiative at ZEISS that aims to revolutionize labor automation in agriculture using cutting-edge robotic systems.

Your Role

  • Implement and evaluate state-of-the-art motion planning and control approaches for highly unstructured environments

  • Develop, refactor and maintain motion generation pipelines building blocks in a large robotics codebase

  • Test approaches on real hardware in greenhouses

  • Pursuing a Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechatronics, Data Science or related field

  • Good foundation in robotics, kinematics, dynamics, motion planning, control theory, optimization, or machine learning

  • Good coding skills with C++ and Python

  • Hands-on experience with tools like ROS 2, Pinocchio, Drake, MoveIt, Tesseract, ros2_control or LeRobot is a plus

  • High motivation and openness to learn new skills

  • Ability to work well in an interdisciplinary, international team

  • Excellent command of English; German skills are an asset but not required

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records).

 

Um dich für diesen Job zu bewerben, besuche bitte www.stepstone.de.

© 2025 Jobrookie. Alle Rechte vorbehalten.