Autonomous Flight Control Engineer — High-Speed UAVs

Harmattan AI; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Harmattan AI is seeking a Flight Control & Dynamics Engineer to join our team across Paris, Lausanne, or Zurich. You will own control law design and system identification, weighing classical and learning-based methods to define flying control for a family of airframes.

The role requires hands-on experience with MPC/INDI or geometric control, embedded real-time implementation, and the ability to communicate results to engineers and senior stakeholders in a fast-paced environment.

Qualifications

• Educational background in aerospace, controls, robotics or related STEM field.
• Proven hands-on system identification and control on multirotor or fixed-wing platforms, validated in flight.
• Real-time embedded realization on constrained targets (microcontroller + companion computer).
• Familiarity with reinforcement learning and simulation-based training, know when learned policy beats classical design.
• Empirical, clear communication; able to present results to engineers and senior stakeholders; thrives under pressure.

Responsabilités

• 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 with outer position loops across airframes and envelope.
• Sim-to-Real: Keep in-house simulator faithful to identified model for transfer to aircraft.
• Model Consumption: Turn aerodynamic derivatives into flying control.
• Flight Test & Diagnosis: Verify across simulation, SITL, HITL; iterate from logs.
• Mentorship: depending on seniority, support team by mentoring junior control and GNC engineers.

Connaissances

System Identification

Control Design

Embedded Realization

Reinforcement Learning

Communication Skills

Formation

Aerospace/Controls degree

Description du poste

Harmattan AI is seeking a Flight Control & Dynamics Engineer to join our team across Paris, Lausanne, or Zurich. You will own control law design and system identification, weighing classical and learning-based methods to define flying control for a family of airframes.

The role requires hands-on experience with MPC/INDI or geometric control, embedded real-time implementation, and the ability to communicate results to engineers and senior stakeholders in a fast-paced environment.