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Multi-Agent Mission Planning Engineer

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsCandidates should possess a strong educational background with a Ph. D. or M. S. in relevant fields, accompanied by significant experience in algorithm development for autonomous systems. Technical proficiency in Python and C++, along with an understanding of multi-agent systems and decision-making processes, is crucial. A proactive mindset and a commitment to the company's mission are essential for success in this role.

About the job

About Us

Harmattan AI is revolutionizing the defense sector by developing autonomous and scalable defense systems. With a successful $200 million Series B funding round, valuing us at $1.4 billion, we are on a mission to expand our team and capabilities to deliver essential systems for allied forces.

Our operations are grounded in core values: creating technology that has tangible real-world impacts, striving for excellence, setting lofty goals, and tackling the most challenging technical projects. In our rigorous environment, we expect ownership, attention to detail, and execution excellence.

About the Role

In the role of Multi-Agent Mission Planning Engineer, you will be responsible for designing and implementing Guidance, Navigation, and Control algorithms that convert high-level mission objectives into actionable directives for autonomous robots and multi-agent systems. You will link state-of-the-art research with practical autonomy, ensuring our systems are both intelligent and reliable in real-world applications.

Responsibilities

  • Create algorithms that break down high-level missions into structured, solvable guidance tasks for autonomous robots.

  • Develop and enhance mission and path-planning frameworks for autonomous systems.

  • Establish scalable backend systems for mission guidance and execution.

  • Conduct simulations and validation campaigns to evaluate the consistency of autonomy across various mission scenarios.

  • Collaborate with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time settings.

Candidate Requirements

  • Education: Ph. D. or M. S. in Aerospace Engineering, Robotics, Applied Mathematics, AI, or a related discipline. A Ph. D. focused on multi-agent systems or reinforcement learning is highly advantageous.

  • Experience in designing and deploying mission- or path-planning algorithms within aerospace, defense, or robotics sectors is a significant plus.

  • Technical Skills: Proficiency in Python and C++. A deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks is essential.

  • Mindset: Proven ability to transition from research prototypes to production-grade systems.

  • Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth strategy, with a readiness to go above and beyond to ensure operational excellence.

About Harmattan AI

Harmattan AI is at the forefront of innovation in defense technology, striving to create autonomous systems that are both effective and scalable. Our commitment to excellence and the pursuit of ambitious goals drives us to tackle some of the most challenging technical problems, all while maintaining a focus on real-world impact.

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