Multi-Agents Mission Planning Engineer

Harmattan Ai
Lausanne, Switzerland
On-site

Who this role is best for

A natural match if you have experience in mission planning for autonomous systems and a background in multi-agent coordination.

Best fit for

  • Candidates with experience in aerospace or defense mission planning and a strong research background in multi-agent systems
    — “Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics is a huge plus”
  • Professionals with expertise in Python and C++ for backend and simulation development
    — “Strong coding in Python and C++”

Things to consider

  • Requires full-time commitment and high dedication to the company’s mission and growth plans
    — “100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans”
  • The role demands rigorous execution and ownership of technical challenges
    — “We operate in a demanding environment where rigor, ownership, and execution are expected”

How to stand out

  • Highlight prior work on scalable mission planning systems in defense or robotics contexts
    — “Design algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots”
  • Emphasize experience in translating research into production-ready systems
    — “Ability to move from research prototype to production-grade system”
  • Showcase simulation and validation skills for autonomous systems
    — “Run simulations and validation campaigns to assess autonomy consistency across diverse mission types”
  • Demonstrate cross-functional collaboration with AI, backend, and product teams
    — “Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment”
  • Include specific projects involving multi-agent coordination or reinforcement learning
    — “Ph.D. in the field of multi-agent systems or reinforcement learning is a huge plus”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • designed and implemented mission planning algorithms
  • optimized mission and path-planning frameworks
  • partnered with AI/ML teams
Typical background
PhD in Aerospace Engineering, Robotics, Applied Math, AI, or related field

Skills & requirements

Required

PythonC++Autonomous Decision-makingMulti-agent CoordinationSimulation Frameworks

Preferred

Reinforcement LearningPath-planning AlgorithmsMission Planning

Stack & domain

PythonC++Autonomous Decision-makingMulti-agent CoordinationSimulation FrameworksResearch To ProductionTechnical LeadershipAerospaceDefenseRobotics

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)

Similar roles

More roles at Harmattan Ai