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Shield AI

Builds autonomous aircraft for defense

Senior Software Engineer - Autonomous Pilot Integration, Emerging Domains

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 practical experience.
  • Typically requires 5 or more years of relevant experience.
  • Strong proficiency in C++ and Linux-based development.
  • Experience integrating embedded or real-time software systems.
  • Experience supporting integration, testing, or operational field events.
  • Strong systems-level problem-solving skills.
  • Ability to obtain a Secret clearance.

Responsibilities

  • Establish autonomy on new platforms and mission areas by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed.
  • Develop and integrate autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software, hardware, vehicle, and live testing.
  • Partner with platform teams to integrate autonomy capabilities, validate interfaces, coordinate hardware and software compatibility, and support mission readiness.
  • Work with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions.
  • Contribute to design reviews, interface control documents (ICDs), integration planning, and post-mortems while improving engineering rigor across teams.
  • Build, configure, validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams.
  • Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring-up, troubleshooting, and mission execution.
  • Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces.
  • Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases.
  • Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness.
  • Implement and validate interfaces with command-and-control systems while supporting program-appropriate interoperability standards.
  • Travel typically 10–20% of the year to office locations, customer sites, operator training events, flight tests, and integration exercises.

Desired Qualifications

  • Experience with autonomous aircraft, maritime systems, spacecraft, or robotics.
  • Experience with autonomy software, autopilot integration, or robotics frameworks.
  • Experience with Python, Docker, or continuous integration and continuous delivery (CI/CD).
  • Experience working in early-stage research and development or rapid prototyping environments.
  • Experience supporting Department of Defense customers or field demonstrations.

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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