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Shield AI

Builds autonomous aircraft for defense

Staff Software Engineer - Autonomous Pilot Integration, Emerging Domains

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, is required.
  • Typically, 7+ years of relevant experience is required.
  • Expert C++ and Linux development experience is required.
  • Experience leading complex autonomy or systems integration efforts is required.
  • Experience influencing technical direction across engineering teams is required.
  • Ability to operate successfully in ambiguous or rapidly evolving technical environments is required.
  • Ability to obtain a Secret clearance is required.

Responsibilities

  • Lead technical efforts to establish autonomy on new platforms, determining how best to leverage existing Shield AI capabilities while developing new platform-specific solutions.
  • Operate effectively as programs evolve by adapting technical plans, balancing competing priorities, and maintaining engineering momentum through changing customer and program requirements.
  • Lead development and integration of autonomy software across emerging-domain platforms, including platform interfaces, payload integration, mission autonomy, and operational deployment.
  • Lead feature crews or major integration efforts, mentor engineers, remove technical obstacles, and drive delivery of complex capabilities.
  • Serve as a primary technical partner to platform engineering teams while coordinating interface evolution, hardware/software compatibility, and mission readiness.
  • Coordinate with Autonomy Capabilities, Perception, GCS, feature crews, customer and program offices, and external partners to deliver integrated autonomy solutions.
  • Lead design reviews, architecture discussions, ICD development, and engineering improvements across multiple efforts.
  • Drive validation, release readiness, hardware/software integration, and mission preparation for operational deployments.
  • Provide technical leadership during live testing, demonstrations, and operational events across air, maritime, space, and emerging platforms.
  • Lead root-cause analysis across complex autonomy stacks, embedded systems, and platform interfaces.
  • Drive post-mission analysis and coordinate engineering improvements based on operational results.
  • Improve engineering processes, testing infrastructure, integration workflows, and deployment efficiency.
  • Drive implementation of command-and-control interfaces and interoperability standards appropriate for each platform.
  • Typically travel around 10–20% of the year to office locations, customer sites, operator training events, flight tests, and integration exercises.

Desired Qualifications

  • Experience standing up autonomy on new platforms.
  • Experience with autonomous aircraft, maritime, or space systems.
  • Experience mentoring engineers and leading technical initiatives.
  • Experience with military test events or customer deployments.
  • Experience with UCI, OMS, STANAG 4586, or comparable interoperability standards.

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
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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