Multi-Agents Mission Planning Engineer

Harmattan Ai·Lausannesenior

In short

→Diseñar algoritmos de planificación de misiones para sistemas autónomos multiagente.
→Trabajar en simulaciones y validación de guía, navegación y control en entornos de defensa.
→Puesto con alto impacto técnico y operativo, enfocado en sistemas de misión críticos.

Proficiency in English is required for collaboration with international teams.

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The questions they'll ask you

1. ¿Cómo descompondrías una misión de reconocimiento multiagente en tareas de guía ejecutables?

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💵 USD · Remote · No visa

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What they ask for

✓Doctorado o máster en Ingeniería Aeroespacial, Robótica, Matemáticas Aplicadas o IA.
✓Experiencia en diseño y despliegue de algoritmos de planificación de misiones o rutas.
✓Dominio de Python y C++ para desarrollo de sistemas de autonomía.
✓Conocimiento profundo en toma de decisiones autónomas y coordinación multiagente.
✓Capacidad para pasar de prototipo de investigación a sistema productivo.
✓Compromiso total con la misión de defensa y operaciones críticas.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonC++Autonomous decision-makingMulti-agent coordinationSimulation frameworksGuidanceNavigationControl algorithmsMission planningReal-time systems

Who should you write to at Harmattan Ai?

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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. D. 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.

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