Multi-Agents Mission Planning Engineer

Harmattan Ai
Zürich, Switzerland
On-site

Who this role is best for

A natural match if you have experience in autonomous systems and multi-agent coordination.

Best fit for

  • Candidates with advanced degrees in multi-agent systems or robotics and a background in aerospace or defense mission planning
    — “Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field.”
  • Individuals who have successfully moved research prototypes into production-grade systems for autonomous platforms
    — “Ability to move from research prototype to production-grade system”
  • Professionals with expertise in path-planning and simulation frameworks for real-time deployment
    — “Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.”

Things to consider

  • This role requires full-time dedication and may not accommodate part-time or remote work arrangements.
    — “100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans”
  • The position is likely to involve significant collaboration with cross-functional teams.
    — “Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment”

How to stand out

  • Highlight experience with real-world deployment of autonomous systems in your resume and interviews.
    — “bridging cutting-edge research and field-ready autonomy”
  • Emphasize your ability to optimize mission planning frameworks for scalability and performance.
    — “Develop and optimize mission and path-planning frameworks for autonomous systems.”
  • Showcase your work with simulation tools and validation campaigns for autonomy systems.
    — “Run simulations and validation campaigns to assess autonomy consistency across diverse mission types.”
  • Demonstrate your background in translating high-level mission goals into executable guidance.
    — “Design algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots.”
  • Include projects or research related to multi-agent systems or reinforcement learning if applicable.
    — “Ph.D. in the field of multi-agent systems or reinforcement learning is a huge plus.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • mission planning algorithms
  • mission and path-planning frameworks
  • backend integrations
  • autonomy consistency across diverse mission types
Typical background
Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field

Skills & requirements

Required

Multi-agent SystemsReinforcement LearningMission PlanningPath-planningAutonomous Decision-makingMulti-agent CoordinationSimulation FrameworksBackend Integrations

Preferred

Ph.d. In Multi-agent Systems Or Reinforcement LearningAerospace EngineeringDefense Systems

Stack & domain

Aerospace EngineeringRoboticsApplied MathAIMulti-agent SystemsReinforcement LearningPythonC++Autonomous Decision-makingMulti-agent CoordinationSimulation FrameworksMission PlanningPath-planningBackend IntegrationsMission GuidanceExecutionAi/mlBackendProduct TeamsAutonomyLeadershipProblem-solvingCommunicationProject ManagementStrategic ThinkingTeamworkAdaptability

About the role

Original posting from Harmattan Ai via Ashby

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.

Source: Harmattan Ai careers (Ashby)

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