Multi-Agents Mission Planning Engineer
Harmattan AI13 hours ago
Zürich, SwitzerlandSenior
Responsibilities
- Design algorithms that decompose high-level missions into structured guidance tasks for autonomous robots.
- Develop and optimize mission-planning and path-planning frameworks for autonomous systems.
- Build scalable backend integrations for mission guidance and execution.
- Run simulations and validation campaigns across diverse mission types.
- Collaborate with AI/ML, backend, and product teams to make algorithms efficient, testable, and deployable in real-time environments.
- Move research prototypes toward production-grade systems and support operational excellence.
Requirements
- Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Mathematics, AI, or a related field.
- Strong coding skills in Python and C++.
- Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.
- Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics is highly valued.
- A Ph.D. focused on multi-agent systems or reinforcement learning is highly valued.
- Ability to transition research prototypes into production-grade systems.
- Commitment to Harmattan AI’s mission and demanding execution environment.
About Harmattan AI
Harmattan AI builds autonomous defense systems—air and multi-domain robots and the software that coordinates them—for military and government customers. Its products span autonomy stacks for high-speed flight, guidance and control, computer vision, and radar-enabled sensing, delivered as deployable platforms and integrated software. Founded in 2024 and headquartered in Paris, the privately held company operates as a defense prime serving allied forces.