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Quantum Systems Tech Stack

Defense and commercial unmanned systems with integrated AI and software

Robotics Engineering Gilching, Bavaria 501–1,000 employees Founded 2015 Public Company

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.

Tech Stack 164 technologies

Core StackJava .NET Spring AWS PostgreSQL MySQL CATIA MATLAB Python C++ Angular TypeScript Docker Azure Azure App Service Azure Cosmos DB GCP Azure SQL Database OAuth 2.0 OpenID Connect JWT USRP GNU Radio Material Design Git Angular Material NgRx LiDAR GPS LabVIEW+129 more
AdoptingNVIDIA Jetson

What Quantum Systems Is Building

Challenges

  • Optimizing production processes
  • Reducing defects
  • Attracting top engineering talent
  • Optimizing existing structures
  • Ensuring compliance with regulations
  • Monitoring product data quality
  • Scaling production capacity
  • Efficiency of innovation and maintenance processes
  • Improving procurement process efficiency
  • Ensuring supplier quality compliance

Active Projects

  • Real-time control and management of robotic swarms and sensor systems
  • Optimization projects in production
  • Automated test framework development for aircraft, ground control, and cloud components
  • Implementation of new production processes
  • Development and implementation of test stands for production and suppliers
  • Developing internal design guidelines
  • Rf filtering and shielding for gps jamming resilience
  • Automated tests for electronics assemblies
  • Simulation and hardware-in-the-loop testing integration into ci pipeline
  • Electromechanical hardware development for droneport

Hiring Activity

Steady230 roles · 85 in 30d

Department

Engineering
116
Ops
25
Manufacturing
17
HR
15
Sales
11
Support
11
Product
8
Data
6

Seniority

Mid
97
Senior
73
Manager
18
Lead
15
Junior
11
Intern
6
C-Level
1

Notable leadership hires: Head of Production, Head of Logistics, ERP Atlassian Lead

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About Quantum Systems

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.

HeadquartersGilching, Bavaria
Company Size501–1,000 employees
Founded2015
Hiring MarketsGermany, Romania, Estonia

Frequently Asked Questions

What tech stack does Quantum Systems use?

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.

What is Quantum Systems working on?

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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