Robotics Software Engineer Intern – Swarm Systems (m/f/d)
autonomous-teaming · Munich (DEU)
What this role requires
One requirement, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Linux, ROS, SLAM, navigation, computer vision, estimation, filtering, planning, control, multi-agent systems, swarming, distributed robotics, LiDAR, camera data, PX4, ArduPilot, Gazebo, Isaac Sim, Unreal Engine, machine learning. Worth having, but their absence is not what gets a CV filtered out.
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Job description
What we offer Work in an international, agile team building autonomous robotic systems
Contribute to software that is tested on real robotic platforms and in the field
Gain hands-on experience with state-of-the-art technologies in robotics , autonomy , and multi-agent systems
Work closely with experienced robotics and embedded engineers
Take ownership of meaningful technical projects while receiving guidance from the team
Benefit from a steep learning curve and a collaborative engineering culture
Read the full description (33 more sections)Show less
Your mission 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
Your profile 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 robotic systems 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
Nice to have 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
What else 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 work ethic
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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