As an AI Software Engineer (m/f/d), you will be a key contributor within our development team. Your responsibilities include preparing and selecting data, training and validating models, as well as deploying them on real embedded UAVs, UGVs, and USVs to enhance their capabilities.
You will work within a world-class team to help push the boundaries of autonomous drone technology.
In this role, you collaborate closely with stakeholders from hardware development, testing, production, and customer operations, driving continuous improvements in the autonomy of our UxV platforms.
By advancing intelligent autonomy, you will actively support Quantum Systems’ mission to set the benchmark for next‑generation UxV solutions.
Please note: This role is on‑site and not remote. The preferred location is Munich, with additional opportunities in Göppingen (Stuttgart/Ulm area), Rostock, Bonn and Berlin.
Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company’s range of electric vertical take‑off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting‑edge software capabilities, like edge computing and real‑time AI‑powered data processing, Quantum Systems is building next‑generation UAS for clients in defence, security, public sectors.
We are an open‑minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success.
At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.
#J-18808-LjbffrVeröffentlichungsdatum:
26 Apr 2026Standort:
GöppingenEinsatzort:
GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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