Drimva

Shield AI

Manager of Engineering, Autonomy Capabilities (R5412)

Washington, D.C. · Manager · Full-time · Posted Oct 22, 2026

Experience
At least 7 years relevant experience with a BS; or 5 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.
Education
BS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field; or equivalent practical experience.

About the job

Leads and develops an autonomy engineering team, setting technical direction and delivering mission autonomy capabilities from design through integration, testing, and field deployment.

What you'll do

  • Manage, hire, mentor, and develop a team of autonomy engineers while owning team health and delivery.
  • Lead autonomy architecture and development, including motion planning, tactical behaviors, multi-agent coordination, track fusion, and target assignment.
  • Oversee software quality, integration, and validation across software-in-the-loop, hardware-in-the-loop, and live tests; collaborate with internal teams and defense customers.

What they ask for

  • BS in a related technical field and at least 7 years of relevant experience; or 5 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.
  • Experience leading and developing engineers and delivering a technical team or capability from design through integration, validation, and field delivery.
  • Significant robotics or autonomous-systems experience and strong C++ proficiency developing production-quality real-time, robotics, or autonomy software.
  • Experience with unmanned systems, autonomy simulation, and software- or hardware-in-the-loop testing; ability to obtain and maintain a U.S. SECRET security clearance.

Nice to have

  • Direct people-management experience, including performance management, hiring, feedback, and employee development.
  • Experience with tactical defense autonomy, multi-agent coordination, platform integration, denied communications, interoperability standards, or defense customers.

Tools

C++, software-in-the-loop, hardware-in-the-loop, UCI, OMS

AI focus

Develops autonomy for unmanned platforms, including motion planning, tactical behaviors, multi-agent coordination, track fusion, perception-aware decision-making, and weapons- or sensor-target assignment.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)