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Shield AI

Robot type
Drone · Defense
Location
San DiegoCaliforniaUSA
Job type
Business Operations
Posted
Sep 16, 2026
Salary
$236,160–$354,240 a year
Full-time

Manager of Engineering, Autonomy Capabilities (R5412)

Job description

The Autonomy Capabilities team develops the core functionality used to drive autonomous decision making for single- and multi-agent teams of platforms in pursuit of mission objectives. The team serves as a central technical discipline within Shield AI, driving consistent approaches across business portfolios while operating at every level of the command-and-control hierarchy, from advanced control laws and motion planning to tactical behaviors and multi-agent coordination. Our work spans a wide range of mission sets, platform types, and operational domains, including air, sea, and space.

The team combines strong technical fundamentals, including vehicle kinematics and dynamics, trajectory…

Job responsibilities

  • Lead and Grow the Team – Manage a team of autonomy engineers, typically 5–10 people. Own performance, growth, leveling, engagement, and delivery while providing regular coaching, feedback, and technical mentorship.
  • Build the Team – Identify the skills needed within your area, partner closely with recruiting, conduct interviews, maintain a high hiring bar, and help close and onboard strong candidates.
  • Own Technical Delivery – Lead autonomy capabilities from initial design through integration, validation, and field deployment.
  • Set Technical Direction – Define technical approaches and architectures for mission autonomy, balancing reuse of existing Shield AI capabilities with new development required for specific platforms and missions.
  • Develop Tactical Autonomy – Guide the development of motion planning, tactical behaviors, multi-agent coordination, track fusion, perception-aware decision-making, and weapons- or sensor-target assignment for platforms…
  • Remain Technically Engaged – Stay close to the code and contribute directly where it provides the most value, including prototyping capabilities, reviewing critical designs, investigating difficult problems, and…
  • Drive Engineering and Integration Rigor – Ensure the team develops high-performance, well-tested software with clear interfaces and the reliability required for operational deployment.
  • Navigate Ambiguity and Changing Priorities – Make sound technical, staffing, and sequencing decisions when requirements are incomplete or program priorities shift.

Job requirements

  • BS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field with a minimum of 7 years of relevant experience; or 5 years with a master’s degree;
  • Experience leading and developing engineers as a people manager, team lead, feature lead, or similar technical leadership role, including mentoring, providing feedback, and coordinating team delivery.
  • Track record of leading a technical team or major capability from initial design through integration, validation, and field delivery.
  • Significant experience with robotics or autonomous systems, including areas such as motion planning, tactical behaviors, decision-making, controls, or multi-agent coordination.
  • Strong proficiency in C++, with experience developing production-quality software for real-time, robotics, or autonomy systems.
  • Experience with unmanned systems, autonomy simulation environments, and software- or hardware-in-the-loop testing.
  • Strong systems-level problem-solving, communication, and cross-functional collaboration skills.
  • Ability to obtain and maintain a U.S. SECRET security clearance.

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