Lead Multi-Agent Mission Planning for Autonomous Defense
Vor 2 Tagen
Zürich, Zurich, Schweiz
Harmattan AI
Vollzeit
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ph3strongAbout Us /strong /h3pHarmattan 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. /ppOur 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. /ph3strongAbout the Role /strong /h3pAs 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. /ph3strongResponsibilities /strong /h3ullipDesign algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots. /p /lilipDevelop and optimize mission and path-planning frameworks for autonomous systems. /p /lilipBuild scalable backend integrations for mission guidance and execution. /p /lilipRun simulations and validation campaigns to assess autonomy consistency across diverse mission types. /p /lilipPartner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environment /p /li /ulh3strongCandidate Requirements /strong /h3ullipEducation: 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. /p /lilipExperience designing and deploying mission
- or path-planning algorithms in aerospace, defense, or robotics is a huge plus /p /lilipTechnical
Skills:
Strong coding in Python and C++ . Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks. /p /lilipMindset: Ability to move from research prototype to production-grade system /p /lilipCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. /p /li /ulpWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. /p /p
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. /p /lilipExperience designing and deploying mission
- or path-planning algorithms in aerospace, defense, or robotics is a huge plus /p /lilipTechnical
Skills:
Strong coding in Python and C++ . Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks. /p /lilipMindset: Ability to move from research prototype to production-grade system /p /lilipCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. /p /li /ulpWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. /p /p