Lead Multi-Agent Mission Planning for Autonomous Defense

Harmattan AI

Zürich

On-site

CHF 150,000 - 210,000

Full time

3 days ago

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Job summary

Harmattan AI in Zürich is seeking a Multi-Agents Mission Planning Engineer to design and implement the Guidance, Navigation, and Control algorithms for autonomous robots and multi-agent systems. You will translate research into production-grade autonomy, develop mission- and path-planning frameworks, and run simulations to validate behavior across diverse missions. The role requires Ph.D.

or M.S. in a relevant field, strong Python and C++ skills, and the ability to move from prototypes to

Qualifications

Ph.D. or M.S. in Aerospace Engineering, Robotics, AI, or related field.
Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics.
Strong coding in Python and C++ with autonomous decision-making capabilities.
Mindset: move from research prototype to production-grade system.
Commitment to Harmattan AI's mission and growth plans.

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.
Collaborate with AI/ML, backend, and product teams to ensure efficient, testable deployments in real-time environments.