Internship - Programming & Automation
Overview
Fiducial is a deep-tech start-up developing software for advanced onboard UAV situational awareness in military applications. The team is based at the Aerospace Innovation Hub on the TU Delft campus in the Faculty of Aerospace Engineering in Delft, Netherlands. The organization offers a full-time internship in robot programming and automation running for a period of 6 months, with a preferred starting date as soon as possible. The intern will work alongside a mechanical design and integration intern to build automated test and calibration infrastructure centered around a UFactory UF850 robotic arm on a linear rail.
What you get
The internship provides hands-on experience building the software behind robotic test and automation infrastructure, working directly with physical hardware and real sensors. Selected candidates may be offered visa sponsorship. The role involves close collaboration with a mechanical intern to coordinate fixture designs and motion limits, with the possibility of continuing onto other robotics and automation projects once the calibration cell is running.
Requirements
Applicants must be enrolled in a relevant study program such as Robotics, Computer Science, Computational Science and Engineering, Mechatronics, Aerospace, Electrical Engineering, or a similar field. Candidates need to be strong in Python, while C++ is considered a plus. Applicants must be comfortable with 3D geometry including rigid transforms, rotation representations, and coordinate frames. Candidates should have an interest in robot programming, an understanding of camera calibration, and experience working with real sensors and real robots. Additional beneficial experience includes ROS 2, MoveIt 2, industrial or collaborative arm SDKs, OpenCV, Kalibr, simulation environments, and Docker. Applicants are required to include links, repositories, or writeups showing practical projects such as GitHub repositories, robot motion projects, or camera calibration and multi-view geometry work.
How to apply
Applications must include links, repositories, or writeups demonstrating past projects and practical work that shows the ability to build functional systems.
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