Defense and commercial unmanned systems with integrated AI and software
Quantum Systems manufactures mission-grade unmanned systems across air, land, and sea domains, paired with cloud-based command software. The stack reveals a dual engineering culture: embedded/RF systems (C++, MATLAB, GNU Radio, LiDAR, GPS) for hardware autonomy, plus modern cloud infrastructure (Azure, GCP, AWS, PostgreSQL) for distributed mission control. Active adoption of NVIDIA Jetson signals a move toward edge AI inference on the platforms themselves. Hiring is heavily weighted toward mid- and senior-level engineering (116 of 227 roles), with production optimization and manufacturing scaling dominating the project backlog—typical of a hardware company transitioning from prototype to volume production.
Notable leadership hires: Head of Production, Head of Logistics, ERP Atlassian Lead
Quantum Systems designs and manufactures unmanned platforms and autonomy software for defense, government, and commercial customers across Europe and globally. The product portfolio spans multiple domains: aerial platforms (including VTOL variants), ground systems, and maritime solutions, all orchestrated through integrated cloud software and AI-driven autonomy. The company operates manufacturing facilities in Germany with supply chains extending into Romania and Estonia. Core competencies include real-time swarm control, sensor fusion via LiDAR and GPS, RF resilience engineering, and end-to-end mission software. Scale challenges—production optimization, defect reduction, supplier compliance, and capacity expansion—are actively being addressed through process redesign and test automation.
Embedded and RF: C++, MATLAB, GNU Radio, CATIA, USRP, LiDAR, GPS. Cloud and backend: Java, .NET, Spring, Azure (App Service, Cosmos DB, SQL), PostgreSQL, MySQL. Frontend: Angular, TypeScript, NgRx. DevOps: Docker, Git. Currently adopting NVIDIA Jetson for edge AI.
Core projects: real-time robotic swarm control, RF filtering for GPS jamming resilience, hardware-in-the-loop and automated testing pipelines, production process optimization, and electromechanical hardware for autonomous droneports. Heavy focus on scaling manufacturing and test automation.
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