Manager of Engineering - Autonomous Pilot Integration (r5153)

Shield AI Shield AI · Defense · San Diego, CA +3 · Flight System Integration

Manager of Engineering for Autonomous Pilot Integration at Shield AI, a defense-tech company. This role involves leading a team of autonomy engineers to develop, integrate, validate, and field autonomy software for small platforms operating in multi-agent fleets, often in disconnected environments. The manager will own team delivery, growth, and technical health, while staying technically active and partnering with various teams and external vendors. The focus is on bridging R&D and deployment for unmanned platforms.

What you'd actually do

  1. lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area
  2. growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development
  3. stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program
  4. partner closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners that staff and operate alongside our team
  5. set the pace for your team accordingly

Skills

Required

  • autonomy software development
  • team leadership
  • technical decision making
  • software integration
  • software validation
  • fielding systems
  • hiring engineers
  • mentoring engineers
  • career development

Nice to have

  • experience with PX4, ArduPilot
  • experience with C2 providers

What the JD emphasized

  • multi-agent fleets
  • disconnected or air-gapped environments
  • end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise
  • fast cadence — frequent Capability Release milestones, multi-agent fleet operations, air-gapped deployments at scale, and demanding live exercises

Other signals

  • autonomy software
  • multi-agent fleets
  • disconnected or air-gapped environments
  • end-to-end ownership
  • software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise