Flight Control & Dynamics Engineer

En tant qu'ingénieur en contrôle de vol et dynamique chez Harmattan AI, vous serez responsable de la conception des lois de contrôle et de l'identification système pour des aéronefs autonomes à grande vitesse. Vous évaluerez les méthodes classiques et basées sur l'apprentissage, et déciderez de ce qui vole réellement. Vous travaillerez sur l'identification système, la conception et le réglage des lois de contrôle, le transfert simulation-réel, et les essais en vol.

Responsibilities

• System Identification: Design excitation maneuvers and fit airframe models from flight data, with quantified error bounds.
• Control Law Design & Tuning: Inner rate and attitude loops through outer position loops, with allocation, gain scheduling, and manual or automated tuning across the airframe family and flight envelope.
• Sim-to-Real: Keep the in-house simulator faithful to the identified model, so control developed in simulation transfers to the aircraft.
• Model Consumption: Turn the stability derivatives and coefficient tables from Aerodynamics into flying control.
• Flight Test & Diagnosis: Verify across simulation, SITL, and HITL, including Monte Carlo campaigns, then fly and iterate from logs.
• Mentorship: Depending on seniority, support the team by mentoring junior control and GNC engineers.

Requirements

• Educational Background: A strong academic record with a degree in aerospace, controls, robotics, or a related STEM field. A practical track record matters more than the specific degree.
• System Identification & Control: Proven, hands-on identification and control on multirotor or fixed-wing platforms, validated in flight, with depth in at least one of MPC, INDI, or geometric control.
• Embedded Realization: Real-time control implementation on constrained targets, split cleanly between a microcontroller and a companion computer.
• Learning-Based Control: Familiarity with reinforcement learning and simulation-based training, and the judgment to know when a learned policy beats a classical design.
• Professional Attributes:
• Empirical and hardware-honest, disciplined about experiments and validation, grounded in real flight data.
• Communicates clearly, able to present control and test results to engineers and senior stakeholders.
• Thrives under pressure in a fast-paced environment with a no-task-is-too-small mentality.
• Commitment: 100% dedication to Harmattan AI's mission of providing a defensive edge to allied nations through ethical, high-impact technology.

Nice to have

• Bonus: Multi-airframe or hover-to-cruise transition experience.