Robotics Engineer Intern

Stellenbeschreibung:

Who We Are:

We build the intelligence that lets robots sense, reason, and act in the real world—moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can’t solve. We are on a mission to redefine how physical work gets done, and we’re looking for curious, bold thinkers to help shape the future of robotics with us.

Overview:

We are seeking a proactive Robotics Engineering Intern to support, troubleshoot, and refine core functionalities for our mobile manipulators and automation systems. This role requires a foundation in ROS, Python, and C++ to assist with on‑site system deployment and sensor calibration. As an intern, you’ll be at the forefront of optimizing existing algorithms and developing internal tools to ensure faster, smoother deployments. You will collaborate closely with multidisciplinary teams to build customer‑facing application layers, pushing the boundaries of what robots can achieve in dynamic, real‑world environments. This position offers hands‑on experience in a fast‑paced setting, perfect for those eager to bridge the gap between academic theory and practical robotics.

Your Responsibilities:

Support the engineering team by testing and troubleshooting core robotics functionalities.
Assist with on‑site system deployment, setup, and sensor calibration.
Analyze and optimize algorithms within our existing software stack for maximum efficiency.
Develop, maintain, and improve internal tools to ensure smoother, faster deployments.
Partner with the team to develop the customer‑facing application layer.

Qualifications:

Currently enrolled in, or recently graduated from, a program in Robotics, Computer Science, Information Technology, or a similar discipline.
Strong programming proficiency in ROS, Python, and C++.
Solid fundamental knowledge in robotic manipulation, mathematics, computer science, and sensor integration.
Familiarity with modern technologies including AI, Machine Learning, and Computer Vision.
Understanding of communication layers (APIs and network protocols) for seamless system interfacing.
Highly adaptable, comfortable working in a fast‑paced environment, and willing to travel as needed.
Strong communication and collaboration skills in English.

Preferred: Outstanding academic performance and a valid EU driving license.

Our interview plan:

Application
Cultural fit interview (40 min): A conversation about how you work, what motivates you, and what you’re looking for. Expect CV highlights, your “why,” and time for your questions.
Technical fit interview (45 min): A deeper dive into your skills and problem‑solving approach for this role.
On‑site visit: Meet the team at our office and collaborate on a real challenge similar to the work you’d do here. You’ll get a clear feel for the environment, ways of working, and the role.