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Stark Defence in Berlin seeks a Software Flight Test Engineer to design, execute, and analyze flight tests for fixed‑wing and multirotor UAVs, validating autonomous guidance and control.
You will pilot experiments, design test procedures for GNSS‑denied navigation and degraded sensors, and integrate payloads and telemetry. Prior PX4/ArduPilot experience is a plus. Work with Control and Perception teams and maintain safety standards.
Berlin, Germany
At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.
We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.
Why Join Us?
Your Mission
Design, execute, and analyze complex flight test campaigns for fixed-wing and multirotor unmanned systems, ensuring safe, repeatable, and performance-driven validation of autonomous guidance, navigation, and control algorithms under realistic and extreme operational scenarios.
Responsibilities
Required Skills
Nice-To-Have
At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities.
We value unique perspectives, adaptability, and a drive to solve high-stakes challenges.
Security Clearance:
Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.