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

The AI Teams at Agile Robots are 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: Knowledge of versioning, configuration management, or reproducible pipeline practices.