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Shield AI

Builds autonomous aircraft for defense

Senior Staff Software Engineer - Autonomous Pilot Integration, Weapons

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 practical experience.
  • Typically requires 10 or more years of relevant experience.
  • Expert-level C++ and Linux systems development experience.
  • Demonstrated experience defining technical strategy across multiple engineering teams or programs.
  • A proven track record influencing architecture and solving highly complex autonomy integration challenges.
  • Experience mentoring senior engineers and driving engineering excellence across an organization.
  • Ability to obtain a Secret clearance.

Responsibilities

  • Define the long-term technical direction for the Launched Effects portfolio and drive common integration patterns, architecture, and engineering strategy for scalable fleet operations across current and future programs.
  • Guide development and integration of mission autonomy, platform interfaces, executive autonomy, multi-agent coordination, and fleet-scale deployment capabilities, ensuring operational delivery across launched effects programs.
  • Build technical partnerships across Autonomy Capabilities, Perception, feature crews, autopilot vendors, command-and-control providers, customer organizations, and engineering leadership; influence architecture and technical direction beyond the portfolio.
  • Lead cross-functional architecture reviews, interface standards, interface control documents, and post-mortems, raising engineering rigor and technical consistency across multiple organizations.
  • Mentor Staff and Senior engineers, develop future technical leaders, contribute to engineering standards and leveling, and partner with managers on senior hiring.
  • Guide Capability Release planning, fleet-scale deployment strategies, mission validation, and operational readiness across multiple programs.
  • Provide senior technical leadership during critical flight tests, customer demonstrations, and operational exercises requiring deep systems integration expertise.
  • Lead resolution of complex autonomy integration challenges involving software, embedded systems, networking, platform interfaces, and operational environments.
  • Drive post-mission analysis, identify systemic improvements, and influence long-term technical investments based on operational learnings.
  • Drive organization-wide improvements to engineering processes, testing infrastructure, integration workflows, developer experience, and mission reliability.
  • Define technical strategy for command-and-control interoperability; shape interface evolution with internal and external stakeholders and drive adoption of common message and open-systems standards, including UCI, OMS, MOSA, WOSA, and TAK/CoT.
  • 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 approximately 10–20% of the year to office locations, customer sites, operator training events, flight tests, and integration exercises.

Desired Qualifications

  • Extensive experience with launched effects, autonomous systems, or distributed robotic platforms.
  • Experience defining autopilot integration strategies and multi-agent autonomy architectures.
  • Experience leading fleet-scale or disconnected operational deployments.
  • Experience with military operational testing and international defense customers.
  • Experience with UCI, OMS, MOSA, WOSA, TAK/CoT, or similar open architectures.
  • Experience shaping engineering practices across multiple teams or organizations.

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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