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

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

Candidate Requirements

Education: Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field. A PhD in the field of multi-agent systems or reinforcement learning is a huge plus.

Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics is a huge plus

Technical Skills: Strong coding in Python and C++ . Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.

Mindset: Ability to move from research prototype to production-grade system

Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.

Multi-Agents Mission Planning Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Harmattan AI

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