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Multi-Agents Mission Planning Engineer

Harmattan AI· R&D
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LausanneFull-timePosted 2w ago

About the role

Design and implement Guidance, Navigation, and Control algorithms that translate high-level mission goals into actionable guidance for autonomous robots and multi-agent systems, bridging research and field-ready autonomy for 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

Qualifications

  • Education: Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field. A PhD in 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.
  • Strong coding in Python and C++. Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.
  • Mindset to move from research prototype to production-grade system.
  • Commitment to Harmattan AI’s mission and growth plans, with readiness to go the extra mile for operational excellence.

Skills

Required:PythonC++Autonomous decision-makingMulti-agent coordinationSimulation frameworks
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Harmattan AI

Building the Future of Autonomous Warfare.

Building the Future of Autonomous Warfare.

Autonomous WarfareUASPayloadCounter-UAS
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