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.
ABOUT THE ROLE
Harmattan AI is pushing the boundaries of high-speed autonomous flight, where control has to hold up at the edge of the envelope. Getting that right across a family of airframes is one of the most demanding parts of the flight software.
As a Flight Control & Dynamics Engineer, working out of Lausanne, Paris, or Zurich, you will own control law design and the system identification that feeds it, setting the control standard as the team grows. You will weigh classical against learning-based methods, from tuned control laws to reinforcement-learning policies trained in simulation and flown on hardware, and decide what actually flies.
RESPONSIBILITIES
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 through outer position loops, with allocation, gain scheduling, and manual or automated tuning across the airframe family and flight envelope.
Sim-to-Real: Keep the in-house simulator faithful to the identified model, so control developed in simulation transfers to the aircraft.
Model Consumption: Turn the stability derivatives and coefficient tables from Aerodynamics into flying control.
Flight Test & Diagnosis: Verify across simulation, SITL, and HITL, including Monte Carlo campaigns, then fly and iterate from logs.
Mentorship: Depending on seniority, support the team by mentoring junior control and GNC engineers.
CANDIDATE REQUIREMENTS
Educational Background: A strong academic record with a degree in aerospace, controls, robotics, or a related STEM field. A practical track record matters more than the specific degree.
System Identification & Control: Proven, hands-on identification and control on multirotor or fixed-wing platforms, validated in flight, with depth in at least one of MPC, INDI, or geometric control.
Embedded Realization: Real-time control implementation on constrained targets, split cleanly between a microcontroller and a companion computer.
Learning-Based Control: Familiarity with reinforcement learning and simulation-based training, and the judgment to know when a learned policy beats a classical design.
Professional Attributes:
Empirical and hardware-honest, disciplined about experiments and validation, grounded in real flight data.
Communicates clearly, able to present control and test results to engineers and senior stakeholders.
Thrives under pressure in a fast-paced environment with a no-task-is-too-small mentality.
Bonus: Multi-airframe or hover-to-cruise transition experience.
Commitment: 100% dedication to Harmattan AI's mission of providing a defensive edge to allied nations through ethical, high-impact technology.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Skills Required
- Degree in aerospace, controls, robotics, or a related STEM field with strong academic record
- Hands-on system identification and control on multirotor or fixed-wing platforms validated in flight
- Depth in at least one of MPC, INDI, or geometric control
- Real-time control implementation on constrained targets split between a microcontroller and a companion computer
- Familiarity with reinforcement learning and simulation-based training, with judgment on when to use learned policies
- Design excitation maneuvers and fit airframe models from flight data with quantified error bounds (system identification)
- Experience verifying control across simulation, SITL, and HITL, including Monte Carlo campaigns and flight test iteration
- Ability to convert aerodynamic stability derivatives and coefficient tables into flying control laws
- Empirical, hardware-honest experimental discipline and clear communication of technical results to stakeholders
- Mentorship of junior control and GNC engineers
- Multi-airframe or hover-to-cruise transition experience
- Commitment to Harmattan AI's mission and ethical application of defense technology
Harmattan AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harmattan AI and has not been reviewed or approved by Harmattan AI.
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Fair & Transparent Compensation — Pay ranges are publicly shown for multiple U.S. roles (e.g., $140k–$200k base) and appear broadly in line with late‑stage startup/defense‑tech expectations based on the postings cited.
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Equity Value & Accessibility — Equity is repeatedly referenced in several job postings as part of total compensation, which can increase upside potential at a recently funded, high‑valuation company.
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Strong & Reliable Incentives — Sign‑on bonuses are explicitly mentioned in a hiring post for candidates who can start quickly, indicating the use of cash incentives in at least some hiring situations.
Harmattan AI Insights
What We Do
Harmattan AI is rising as a next-generation defense prime, building the future of autonomous warfare. We leverage AI-driven autonomy, real-time intelligence, and conflict-ready production to deliver attritable systems and autonomous mission management software. Designed for the real-world needs of warfighters, our solutions enable faster deployment, sharper decision-making, and battlefield dominance.
