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Shield AIShield AISan Diego, CA

Manager of Engineering - Autonomous Pilot Integration

Lead a 3-8 person autonomy engineering team building and fielding multi-agent autonomy software for launched effects platforms. Own hiring, mentoring, technical direction, integration with PX4/ArduPilot, and on-site test support.

220k – 330k/yr
On-site7+ YOEEngineering Management

About the role

What you'll do

  • Lead the Team — Manage a small-to-mid-sized engineering team (typically 3–8 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals.
  • Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates.
  • Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact.
  • Develop & Field Autonomy — Develop & integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments — and lead a small team through the design, development, and delivery of a major capability or program.
  • Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
  • Collaboration Across Teams & Partners — Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners (including embedded contractor engineers and U.S. or international government program offices); author and negotiate ICDs and interface contracts rather than just consume them.
  • Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.
  • Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and fleet-scale deployments (often 50–150+ units in disconnected environments); coordinate hardware/software compatibility, mission readiness, and Capability Release (CR) cadence with capability and feature teams.
  • On-site Test & Mission Support — Travel to test sites and customer exercises to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations), including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally-representative loads.
  • Mission Data & Debrief Support — Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.
  • Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
  • C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).

Required qualifications

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience
  • 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning)
  • Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers
  • Track record of mentoring engineers and growing their technical skill and career trajectory
  • Demonstrated experience leading a small technical team or owning a major capability from design through field delivery
  • Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders
  • Direct experience with launched effects, loitering munitions, expendable autonomous systems, or comparable small unmanned platforms
  • Experience with multi-agent, swarm, or fleet-scale autonomy
  • Strong proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems
  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
  • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses)
  • Hands-on experience supporting live exercises, customer demonstrations, or operational test events for launched effects or similar small unmanned systems
  • Experience with autonomy simulation environments for testing and validation
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
  • Ability to obtain a SECRET clearance

Preferred qualifications

  • Direct experience with PX4 and/or ArduPilot at the platform integration level
  • Experience using and developing on QGroundControl (QGC) or other Qt-based ground control stations
  • Proficiency in Python for scripting, automation, and analysis
  • Experience leading a feature crew, sub-program, or small team in an unmanned systems context

Skills

C++LinuxEmbedded SystemsPx4ArdupilotDdsPythonQgroundcontrolMiddlewareIpc
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