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Shield AI

Builds autonomous aircraft for defense

Senior Staff Software Engineer - Autonomous Pilot Integration, Expeditionary

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

About the Job

Requirements

  • A bachelor's or master's degree in a relevant engineering discipline, or equivalent experience.
  • At least 10 years of relevant experience.
  • Expert-level C++ and Linux systems development experience.
  • Experience defining technical strategy across multiple engineering teams or programs.
  • A proven track record of influencing architecture and solving highly complex systems integration challenges.
  • Experience mentoring senior engineers and driving engineering excellence.
  • Ability to obtain a Secret clearance.

Responsibilities

  • Define and drive the long-term technical direction for Expeditionary autonomy across V-BAT, X-BAT, and future platforms.
  • Guide development of mission autonomy, payload integration, flight-autonomy interfaces, executive autonomy, and multi-agent capabilities, ensuring successful operational deployment.
  • Establish long-term technical strategy with the Aircraft team for platform integration, interface evolution, and mission readiness.
  • Influence architecture across Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), Aircraft, and customer organizations.
  • Serve as the organization's technical expert for complex autonomy integration challenges spanning software, hardware, and operations.
  • Lead architecture reviews, engineering standards, interface definitions, and organization-wide technical improvements.
  • Mentor senior engineers, develop technical leaders, contribute to leveling frameworks, and partner on senior hiring.
  • Guide customer releases, deployment strategy, and mission validation while supporting critical operational events.
  • Drive long-term improvements to engineering processes, integration workflows, testing infrastructure, and developer experience.
  • Define technical strategy for command-and-control interoperability and adoption of open-systems standards.
  • Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities.
  • Travel typically 10–20% of the year to office locations, customer sites, operator training events, flight tests, and integration exercises.

Desired Qualifications

  • Extensive experience with Group 3 unmanned aircraft systems, vertical takeoff and landing platforms, or comparable autonomous systems.
  • Experience defining flight-autonomy interfaces or custom autopilot integrations.
  • Experience deploying autonomy to operational military systems.
  • Experience with international defense customers.
  • Experience with STANAG 4586, UCI, OMS, and open-systems architectures.
  • Experience shaping engineering practices across an organization.

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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