Multi-Agents Mission Planning Engineer

About the role

As a Multi-Agents Mission Planning Engineer, you will design and implement Guidance, Navigation, and Control algorithms that translate high-level mission goals into actionable guidance for autonomous robots and multi-agent systems. You will bridge cutting-edge research and field-ready autonomy to ensure systems are intelligent and predictable in live operations.

Responsibilities

• Design algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots.
• Develop and optimize mission and path-planning frameworks for autonomous systems.
• Build scalable backend integrations for mission guidance and execution.
• Run simulations and validation campaigns to assess autonomy consistency across diverse mission types.
• Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment

Required skills

• Python
• C++
• Autonomous decision-making
• Multi-agent coordination
• Simulation frameworks

Nice to have

• Multi-agent systems
• Reinforcement learning
• Mission planning
• Path-planning

Qualifications

• Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field

About the Company

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following a $200M Series B funding round, the company is focused on delivering mission-critical systems to allied forces.