Flight Guidance & Motion Planning Engineer
LausanneFull-timePosted 2mo ago
About the role
Role focused on motion planning, trajectory generation, and guidance laws for high-speed autonomous flight. Owns motion planning, trajectory generation, and guidance in Lausanne, Paris, or Zurich; evaluates classical vs learning-based methods and validates through simulation and flight testing.
Responsibilities
- Motion Planning: Plan dynamically feasible paths onboard, including obstacle avoidance, replanning as the situation changes, and perception-aware planning.
- Trajectory Generation: Turn paths into feasible references under airframe and actuator limits, handed to the control loop.
- Guidance Laws: Design the laws that steer the aircraft along the reference.
- Interfaces & Perception Coupling: Own input contracts for ego-state from Navigation and perception pipeline, manage latency, rate, dropout, and behavior when inputs drop.
- Mode & Failsafe Logic: Across cruise, loiter, and approach, including lost-link behavior.
- Flight Test & Diagnosis: Verify across simulation, SITL, and HITL, including Monte Carlo campaigns; fly and iterate from logs.
- Mentorship: Depending on seniority, mentor junior engineers.
Qualifications
- Aerospace, robotics, GNC, or related STEM field degree with strong academic record; practical track record matters.
- Proven experience with onboard motion planning, trajectory generation, tracking, and guidance laws on flying platforms.
- Hands-on experience closing a control loop on a perception output, handling latency and dropout.
- Familiarity with learning-based planning or guidance and simulation-based training; ability to weigh against classical approaches.
- Systems-minded, pragmatic about failure modes; disciplined about simulation and validation.
- Clear communication; able to present guidance and test results to engineers and senior stakeholders.
- Thrives under pressure in a fast-paced environment with a no-task-is-too-small mindset.
Skills
Required:Motion PlanningTrajectory GenerationGuidance LawsPerception-Coupled Control
Nice to have:Learning-Based Methods
Last updated Jul 29, 2026. Interested? Apply on the company site.
About Harmattan AI
Building the Future of Autonomous Warfare.
Building the Future of Autonomous Warfare.
Autonomous WarfareUASPayloadCounter-UAS
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