Une candidature sur mesure pour ce poste — un CV personnalisé et une lettre de motivation qui correspondent directement à l’offre.
Harmattan AI is seeking a Flight Guidance & Motion Planning Engineer, based in Paris (or Lausanne/Zurich), to own motion planning, trajectory generation and guidance laws for high-speed autonomous flight. You will convert objectives into references and drive the control loop within airframe limits.
You will weigh classical vs. learning-based methods, from optimization-based planning to learned approaches, and decide what holds up at high speed.
Harmattan 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.
Harmattan 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.
Harmattan AI is pushing the boundaries of high-speed autonomous flight, where guidance turns intent into a flyable path at speed. It takes a mission objective or a waypoint, produces the reference, and drives the aircraft along it. It is one of the most demanding parts of the flight software.
As a Flight Guidance & Motion Planning Engineer, working out of Lausanne, Paris, or Zurich, you will own motion planning, trajectory generation, and guidance laws, consuming imperfect, delayed inputs from the estimator and the perception pipeline and handing references to the control loop. You will weigh classical against learning-based methods, from optimization-based planning to learned and differentiable approaches, and decide what holds up at high speed.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.