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