Work in an international, agile team creating the future of autonomous systems
Grow your career in a expanding and ambitious engineering team
Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
Benefit from a steep learning curve and continuous development
Enjoy team events and a strong, collaborative culture

Build and own robotic systems that operate as coordinated, distributed agents in real-world environments.

You will work on the core autonomy stack behind mission-critical robotic systems, with a focus on SLAM, navigation, vision and multi-agent coordination systems that share information, make decisions under uncertainty, and operate reliably under real constraints (limited compute, imperfect sensing, and constrained communication).

Your work directly impacts system reliability, scalability, and collective behavior in the field. Field performance is the final metric, as we iterate based on real-world results and tests.

You will :

• Design and implement performance-critical, real-time robotics software
• Develop multi-agent capabilities (e.g., state sharing, task allocation, decentralized decision-making)
• Work with multi-modal LiDAR and vision data (timing, synchronization, calibration, coordinate frames)
• Build and refine algorithms in estimation, perception, planning, or control
• Ensure robustness, determinism, and system stability across distributed systems
• Debug and validate behavior on real hardware, including field testing
• Collaborate closely with robotics, embedded, and domain experts

Strong proficiency in modern C++ (17/20), building performance-critical systems
Solid understanding of concurrency, real-time systems, or distributed systems
Strong foundation in algorithms, data structures, and numerical methods
Experience developing software for real robots, embedded systems, or HIL setups
Comfortable working with raw sensor data (synchronization, noise, calibration, transforms)
Strong debugging skills across system layers (latency, race conditions, system failures)
Ability to design clean, modular, and reliable systems
Ownership mindset: able to take components from concept to production

Experience with multi-agent systems, swarming, or distributed robotics
Background in coordination algorithms (e.g., consensus, task allocation)
Experience with real-time systems or middleware (e.g., ROS 2)
Background in computer vision, estimation, filtering, or optimization
Experience with embedded platforms, GPUs, or networking
Exposure to autopilot systems such as ArduPilot or PX4
Experience with simulation frameworks (gz, Isaac Sim, Unreal Engine)
Proficiency with Linux
Experience with ML methods

Outside-the-box creativity with a blend of conceptual and systematic design thinking.
High intrinsic motivation, attention to detail, and strong problem-solving mindset.
Structured, methodical, and reliable execution, even under uncertainty.
Humble, collaborative, and mission-driven values collective success over ego.
High ethical standards and disciplined work ethic.
Extra-curricular achievements, leadership, or unique projects are a plus.
NATO-aligned nationality or close ally citizenship is required.

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