Aerospace Software Engineering, Brought to Counter-Drone AI

The client is a specialized technology company building AI and computer vision systems for drone detection, classification, and threat mitigation in sensitive airspace environments, supporting counter-UAS (Unmanned Aircraft Systems) operations. That business is an Atlanta startup, serving a defense and government customer base under mission-critical delivery standards. At the time of this search, the engineering organization was small, technically specialized, and working at the pace and classification levels demanded by defense technology development.

The Director of Software Engineering would sit between the CTO and a team of specialized engineers. The position would be responsible for delivery management, organizational growth, and the technical credibility engineers from defense and aerospace backgrounds expect from their leadership. The company was very selective about the profile it wanted: a software leader in autonomy systems or the broader mission-critical software space, with previous experience as the head of a defense or dual-use AI engineering organization. It was important to the client that the candidate had built a team from a small founding unit to scale delivery, and had done so at a startup rather than a prime contractor. Landing that person meant working in a talent market where the leading defense AI companies are constantly and actively scouting for the same profile.

Keller mapped senior software engineering leaders from the defense and aerospace industry who had experience scaling teams in early-stage, mission-critical environments. Keller sought candidates who had built engineering organizations from the ground up in dual-use or defense AI contexts, who could bring the hands-on technical depth to hold credibility with a specialized team, and who had delivered against the kind of timelines and standards a defense customer base commands.

The incoming director had a career in aerospace and defense technology and could bring the necessary technical experience across autonomy systems, flight software, and ground systems development for deployed platforms. His background included leading software organizations from early-stage startup to fielded product and acquisition, scaling teams from a small founding group to a substantially larger delivery organization, and meeting mission critical timelines in environments that run at the pace of the client’s own customer base. He had joined defense AI startups at their earliest stages and helped build their engineering capability from the ground up, rather than arriving later to run what was already in place.