Intern (m/f/d) Robot Motion, Control & Sensing

Agile Robots SE · Munich

InternshipGerman needed: none

Still open on 1 Nov

You apply on the company's own website.

What you will do

Software Development: Implement and extend robot software modules in C++ or Python, for example for motion planning, joint control, or sensor data processing.
Hardware Testing: Run and debug your software on real robots and sensors in the lab, and reproduce issues found during testing.
Sensor Integration: Integrate and calibrate cameras and other sensors, and keep coordinate frames and timing consistent across the system.
Simulation: Build and use simulation setups to test software before it runs on hardware.
Test Automation: Write automated tests and tooling that check the software keeps working as it changes.

Essential Skills

Degree Programme: Enrolled in a Master’s programme in Robotics, Computer Science, Electrical Engineering, Mechatronics, Mechanical Engineering, or a related field.
Programming: Working proficiency in C++ or Python, including code written for a project beyond course exercises.
Hands-On Robotics: Experience running and debugging your own code on a physical robot, sensor setup, or embedded device, for example in a lab, a thesis project, or a student robotics team.
Robotics Fundamentals: Working understanding of coordinate transforms, kinematics, and basic control.
Linux Development: Working familiarity with the Linux command line, build systems such as CMake, and Git.

Beneficial Skills

ROS 2: Experience building or debugging ROS 2 nodes and the communication between them.
3D Perception: Experience processing depth-camera or point-cloud data on a running robot, including camera calibration.
Motion Planning: Experience with motion planning or control for robot arms or mobile robots.
Real-Time Systems: Familiarity with timing constraints in control loops or real-time operating systems.

Software Development: Implement and extend robot software modules in C++ or Python, for example for motion planning, joint control, or sensor data processing.
Hardware Testing: Run and debug your software on real robots and sensors in the lab, and reproduce issues found during testing.
Sensor Integration: Integrate and calibrate cameras and other sensors, and keep coordinate frames and timing consistent across the system.
Simulation: Build and use simulation setups to test software before it runs on hardware.
Test Automation: Write automated tests and tooling that check the software keeps working as it changes.

Essential Skills

Degree Programme: Enrolled in a Master’s programme in Robotics, Computer Science, Electrical Engineering, Mechatronics, Mechanical Engineering, or a related field.
Programming: Working proficiency in C++ or Python, including code written for a project beyond course exercises.
Hands-On Robotics: Experience running and debugging your own code on a physical robot, sensor setup, or embedded device, for example in a lab, a thesis project, or a student robotics team.
Robotics Fundamentals: Working understanding of coordinate transforms, kinematics, and basic control.
Linux Development: Working familiarity with the Linux command line, build systems such as CMake, and Git.

Beneficial Skills

ROS 2: Experience building or debugging ROS 2 nodes and the communication between them.
3D Perception: Experience processing depth-camera or point-cloud data on a running robot, including camera calibration.
Motion Planning: Experience with motion planning or control for robot arms or mobile robots.
Real-Time Systems: Familiarity with timing constraints in control loops or real-time operating systems.