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Automated Testing Module Lead

Signal Processing Engineer (RF Processing & Analytics) · Paris

Publicada em 19/09/2026

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleAs Automated Testing Module Lead, you take ownership of how Harmattan validates its autonomy and flight-software stack. Today, our software is validated mostly against real hardware, a process that consumes airframes, range time, and crew while sampling only a handful of nominal trajectories. The cases we actually build for, such as degraded GNSS, sensor dropout, electronic warfare, and multi-agent situations, are rarely reached economically that way. Your mission is to establish the scenario library, execution strategy, and interface bricks to turn our existing simulation platform into a fast, reliable, and continuous validation engine.This is a senior, hands-on technical leadership role. You inherit an active team of four engineers across Paris and Lausanne, with a target of around eight by mid-2027. Beyond leading the team, you become the technical authority on our scenario-based testing: defining what runs across SITL, HITL, and CI, holding critical technical boundaries with adjacent teams, and bridging the gap between simulation fidelity and real flight data.What You Will DoTeam Leadership & Strategy: Take over, structure, and give a clear mandate to our existing team of four engineers, while building the case and the roadmap to scale the module to around eight by mid-2027.Scenario & Simulation Engineering: Drive the design of a versioned scenario library covering nominal, edge, off-n
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