Autonomous Flight Control Engineer

Harmattan AI; Paris; Sur place; EUR 120 000 - 170 000; Plein temps

Résumé du poste

Harmattan AI in Paris is seeking a Flight Control & Dynamics Engineer to own control law design, system identification, and the integration of identified models into flying systems. You will balance classical approaches with learning-based methods, develop across SITL/HITL setups, and guide junior engineers while delivering robust, real-world flight performance for multiple airframes.

The role demands rigorous experimentation, flight data validation, and clear communication with

Qualifications

• Educational Background: strong academic record in aerospace, controls, robotics or related STEM field.
• System Identification & Control: hands-on identification and control on multirotor or fixed-wing platforms, validated in flight, with MPC/INDI/geometric control knowledge.
• Embedded Realization: real-time control on constrained targets, between microcontroller and companion computer.
• Learning-Based Control: familiarity with reinforcement learning and simulation-based training.
• Professional Attributes: disciplined about experiments, clear communication, thrives under pressure.

Responsabilités

• System Identification: design excitation maneuvers and fit airframe models from flight data.
• Control Law Design & Tuning: inner rate and attitude loops with gain scheduling across airframes.
• Sim-to-Real: keep simulator faithful to identified model for transfer to hardware.
• Model Consumption: convert aerodynamic derivatives into flying control.
• Flight Test & Diagnosis: verify across simulation, SITL and HITL; iterate from logs.
• Mentorship: support the team by mentoring junior control/GNC engineers.

Connaissances

System Identification

Control Law Design

Sim-to-Real

Model-based Control

Flight Testing

Mentorship

Formation

Degree in aerospace, controls, robotics, or related STEM

Description du poste

Harmattan AI in Paris is seeking a Flight Control & Dynamics Engineer to own control law design, system identification, and the integration of identified models into flying systems. You will balance classical approaches with learning-based methods, develop across SITL/HITL setups, and guide junior engineers while delivering robust, real-world flight performance for multiple airframes.

The role demands rigorous experimentation, flight data validation, and clear communication with