Autonomous Flight Guidance & Motion Planning Engineer

Harmattan AI

Paris

Sur place

EUR 70 000 - 110 000

Plein temps

14 jours+
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Résumé du poste

Harmattan AI seeks a Flight Guidance & Motion Planning Engineer to own motion planning, trajectory generation, and guidance laws for high-speed autonomous flight. Based in Lausanne, Paris, or Zurich, you will feed references to the control loop from imperfect estimator and perception inputs.

You will evaluate learning-based vs classical methods, validate through simulations and flight tests, and mentor junior engineers to reinforce robust, real-world defense technology.

Qualifications

  • Strong background in onboard motion planning, trajectory generation and tracking.
  • Experience with guidance laws for flying platforms and perception-coupled control.
  • Familiarity with learning-based planning vs classical approaches and validation.

Responsabilités

  • Motion Planning: Plan dynamically feasible paths onboard with obstacle avoidance and replanning.
  • Trajectory Generation: Convert paths into feasible references within airframe/actuator limits.
  • Guidance Laws: Design laws to steer the aircraft along references and hold it there.
  • Interfaces & Perception Coupling: Manage input contracts from Navigation and perception with latency/dropout handling.
  • Mode & Failsafe Logic: Implement behavior across cruise, loiter, approach and lost-link scenarios.
  • Flight Test & Diagnosis: Validate in simulation, SITL/HITL, and from flight logs.
  • Mentorship: Support the team by mentoring junior engineers.

Connaissances

Motion Planning
Trajectory Generation
Guidance Laws
Perception-Coupled Control
Learning-Based Methods
Simulation & Validation
Communication
Mentorship

Formation

Aerospace/Robotics degree

Description du poste

Harmattan AI seeks a Flight Guidance & Motion Planning Engineer to own motion planning, trajectory generation, and guidance laws for high-speed autonomous flight. Based in Lausanne, Paris, or Zurich, you will feed references to the control loop from imperfect estimator and perception inputs.

You will evaluate learning-based vs classical methods, validate through simulations and flight tests, and mentor junior engineers to reinforce robust, real-world defense technology.

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