Intern (m/f/d) Hardware Integration & Robot Control Systems

Agile Robots SE
Munich, Bavaria, GermanyPosted Sep 9, 2026

About the role

The AI Research and Development Group of Agile Robots is looking for an Intern (m/f/d) Hardware Integration & Robot Control Systems, who will set up, calibrate, and bring physical robot platforms into reliable operation, covering control infrastructure, motion execution, and the validation pipelines that bridge simulation and real-world deployment. Your Responsibilities Hardware Setup: Set up, calibrate, and maintain robotic hardware components, including robot arms, end-effectors, and sensors, to ensure safe and repeatable operation. Control Infrastructure: Build and maintain software pipelines for real-time robot control, enabling stable and responsive system behaviour across test and deployment configurations. Motion Integration: Integrate and validate motion planning pipelines to ensure consistent and accurate task execution on physical hardware. Sim-to-Real Validation: Develop and maintain testing environments that bridge simulation (MuJoCo, Isaac Sim) and real-world deployment, identifying failure modes across both. System Testing: Perform structured testing, debugging, and performance analysis to identify system limitations before and during deployment. Essential Skills Academic Background: Currently enrolled in a Master's programme in Robotics, Mechatronics, Control Engineering, or a related field. Programming: Practical experience in Python and/or C++ for robotics system development. Robotics Frameworks: Hands-on experience with ROS2 in Linux-based development environments. Robot Fundamentals: Working understanding of robot kinematics, dynamics, and control principles, with practical experience on physical systems. Beneficial Skills Simulation Environments: Experience with simulation environments such as MuJoCo or Isaac Sim. System Integration: Familiarity with hardware-software integration and debugging in complex robotic systems. Validation Design: Experience designing structured tests and validation workflows for robotics applications. Reproducibility: K

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