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Shield AI

Builds autonomous aircraft for defense

Staff Software Engineer - Autonomous Pilot Integration, Expeditionary

Embedded EngineeringUpdated on Nov 14
Full-timeArlington County, Arlington, VA, USA

About the Job

Requirements

  • A BS or MS in a relevant engineering discipline, or equivalent experience, is required.
  • At least 7 years of relevant experience is required.
  • Expert C++ and Linux development experience is required.
  • Experience leading complex autonomy or embedded software integration efforts is required.
  • Experience influencing technical direction across multiple engineering teams is required.
  • Experience supporting operational test events or customer deployments is required.
  • The ability to obtain a Secret clearance is required.

Responsibilities

  • Lead technical execution of complex autonomy capabilities from architecture through field deployment, coordinating work across multiple engineering teams.
  • Drive integration of mission autonomy, payloads, flight-control interfaces, executive autonomy, and multi-agent behaviors onto V-BAT and X-BAT.
  • Serve as a primary technical partner to the Aircraft team by defining integration approaches, resolving interface issues, and ensuring mission readiness.
  • Partner across Aircraft, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), and feature crews to solve complex systems integration challenges.
  • Influence architecture, interface design, and integration strategy across multiple subsystems.
  • Lead design reviews, contribute to interface control documents (ICDs), mentor engineers, and improve engineering rigor.
  • Drive release readiness while supporting flight tests, customer demonstrations, and operational deployments.
  • Improve integration workflows, testing infrastructure, and engineering productivity.
  • Drive implementation of GCS and C2 interfaces using common open-systems standards.
  • Travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.

Desired Qualifications

  • Experience with Group 3 unmanned aircraft systems (UAS) or vertical takeoff and landing (VTOL) aircraft is preferred.
  • Experience with custom autopilot integration is preferred.
  • Experience with electro-optical/infrared (EO/IR) or ViDAR integration is preferred.
  • Experience with long-endurance intelligence, surveillance, and reconnaissance (ISR) missions is preferred.
  • Docker, ARM embedded systems, and continuous integration/continuous delivery (CI/CD) experience is preferred.
  • Experience mentoring engineers and leading technical initiatives is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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