Multi-Agents Mission Planning Engineer

The role

You will design and implement Guidance, Navigation, and Control algorithms. These translate high-level mission goals into actionable guidance for autonomous robots and multi-agent systems.

What you will do

• 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 qualifications

• Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field.
• Strong coding in Python and C++.
• Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.
• Ability to move from research prototype to production-grade system.
• 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans.

Nice to have

• PhD in the field of multi-agent systems or reinforcement learning
• Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics

About the company

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. The company is expanding teams following a $200M Series B.