Robotics Engineering Intern: Hands-On Hardware & AI Testing

Flexion; Zürich; Vor Ort; CHF 22.000 - 31.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Front-row seat at Europe’s ambitious

Energetic, collaborative team

Zusammenfassung

Flexion is seeking a Robotics Engineering Intern to work hands-on with our diverse robot fleet and test the Flexion software on real hardware. You will collaborate with AI engineers to close the loop between models and machines, designing tests and debugging issues observed in hardware setups.

The role offers exposure to deploying learning-based software on physical robots, with opportunities to contribute to test infrastructure and documentation while gaining practical experience in a

Qualifikationen

• Pursuing an MSc in Robotics, Electrical Engineering, CS, Mechanical Engineering, or related field.
• Hands-on experience with robotic systems and debugging across the full stack.
• Strong C++ programming skills.
• Professional working proficiency in English and ability to work in a Linux/Ubuntu environment.

Aufgaben

• Conduct full-stack tests of Flexion software, from setup through execution and reporting.
• Investigate and debug issues that surface during hardware testing, working across the software/hardware boundary.
• Support the maintenance, calibration, and readiness of our robot fleet so systems are always available for testing.
• Maintain and improve our test infrastructure to keep experimentation reliable.
• Run dedicated test campaigns for AI engineers and translate their needs into repeatable test setups.
• Document findings, fixes, and test procedures for the team.

Kenntnisse

C++ programming

Linux/Ubuntu

English proficiency

Autonomous working

Robotics hardware debugging

Ausbildung

MSc in Robotics or related field

Tools

ROS/ROS 2

Git

MuJoCo / Gazebo

Isaac Sim

Jobbeschreibung

Flexion is seeking a Robotics Engineering Intern to work hands-on with our diverse robot fleet and test the Flexion software on real hardware. You will collaborate with AI engineers to close the loop between models and machines, designing tests and debugging issues observed in hardware setups.

The role offers exposure to deploying learning-based software on physical robots, with opportunities to contribute to test infrastructure and documentation while gaining practical experience in a