Robotics Software Engineer Intern – Swarm Systems (m/f/d)

Join our robotics team working on autonomous systems that operate as coordinated, distributed agents in real-world environments. 

As a Software Engineering Intern, you will contribute to the development and validation of our multi-UAV system, with a particular focus on software tooling, simulation, and system observability. 

Depending on your background and the project, you may also contribute to areas such as SLAM, navigation, perception, planning, or multi-agent coordination. This is a hands-on internship where you will develop and test software, work with real robotic systems, and see how your work performs beyond simulation. 

• Develop data-driven dashboards and tools to monitor, analyze, and visualize system performance
• Extend our simulation framework with KPIs, automated scenarios, and evaluation workflows
• Analyze simulation and field-test data to identify issues and opportunities for improvement
• Contribute to the core robotics stack in areas such as estimation, perception, planning, control, or mission execution
• Collaborate closely with robotics, simulation, embedded, and domain experts
• Gain practical experience developing and validating software for complex autonomous systems

• Currently pursuing or recently completed a Master's degree in Robotics, Computer Science, Autonomous Systems, Electrical Engineering, or a related field
• Good programming skills in C++, ideally modern C++ (17/20)
• Solid foundation in algorithms, data structures, and software engineering
• Basic understanding of robotics concepts such as coordinate frames, sensor data, estimation, planning, or control
• Comfortable working in Linux
• Curious about complex roboticsystems and motivated to understand how things work beyond your individual component
• Able to work independently on a defined technical problem while actively seeking feedback when needed
• Genuine interest in autonomous systems, robotics, and defense technology

You do not need to bring all of these — experience from university projects, research, student teams, personal projects, or previous internships counts. 

• Experience with ROS or ROS 2
• Experience with real robots, embedded systems, or hardware-in-the-loop setups
• Exposure to SLAM, navigation, computer vision, estimation, filtering, planning, or control
• Interest or experience in multi-agent systems, swarming, or distributed robotics
• Experience working with LiDAR or camera data
• Exposure to PX4 or ArduPilot
• Experience with simulation frameworks such as Gazebo, Isaac Sim, or Unreal Engine
• Experience with embedded platforms, GPUs, or networking
• Exposure to machine learning methods

• Strong problem-solving mindset and willingness to learn
• Structured and reliable way of working
• Comfortable working in an environment where not every problem has a predefined solution
• Collaborative and open to technical feedback
• High ethical standards and disciplined workethic
• Extra-curricular engineering projects, robotics competitions, research, or other technical achievements are a plus

The practical part 

• Duration: 3–6 months, full-time
• Eligibility: NATO-aligned nationality or close ally citizenship is required

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