Multi-Agents Mission Planning Engineer

Harmattan AI; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading AI defense company located in Paris is seeking a Multi-Agents Mission Planning Engineer. This role involves designing algorithms for autonomous robots to decompose high-level missions into actionable tasks. The ideal candidate will hold a Ph.D. or M.S. in a relevant field and possess strong coding skills in Python and C++. Commitment to the company’s vision and the ability to transition from research to production are essential. This position offers a unique opportunity to contribute to the future of defense systems.

Qualifications

• Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field.
• Experience in mission- or path-planning algorithms in aerospace, defense, or robotics is a plus.
• Ability to transition from research prototype to production-grade system.

Responsabilités

• Design algorithms for autonomous robots based on high-level missions.
• Develop mission and path-planning frameworks.
• Build backend integrations for mission guidance.
• Run simulations to validate autonomy consistency.
• Collaborate with AI/ML and product teams for deployment.

Connaissances

Strong coding in Python

Strong coding in C++

Understanding of autonomous decision-making

Multi-agent coordination

Simulation frameworks

Formation

Ph.D. or M.S. in Aerospace Engineering

M.S. in Robotics

M.S. in Applied Math

M.S. in 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 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.

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