Multi-Agents Mission Planning Engineer

Harmattan AI; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A next-generation defense technology company in Paris seeks a Multi-Agents Mission Planning Engineer. You'll design and implement Guidance, Navigation, and Control algorithms for autonomous robots and multi-agent systems. This role demands a Ph.D. or M.S. in relevant fields, with strong coding skills in Python and C++. Join us in shaping the future of autonomous defense systems, ensuring intelligent and predictable performance in live operations.

Qualifications

• A Ph.D. 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.
• Ability to move from research prototype to production-grade system.

Responsabilités

• Design algorithms to translate high-level missions into structured guidance tasks.
• Develop mission and path-planning frameworks for autonomous systems.
• Build scalable backend integrations for mission guidance and execution.
• Run simulations to assess autonomy consistency across diverse mission types.
• Partner with teams to ensure algorithms are deployable in real-time.

Connaissances

Strong coding in Python

Strong coding in C++

Autonomous decision-making

Multi-agent coordination

Formation

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

Description du poste

About Us

Harmattan AI is a next‑generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission‑critical systems to allied forces.

Our work is guided by clear values: building technologies with real‑world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About The Role

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.

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 a real‑time environment.

Candidate Requirements

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

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.