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Shield AI

Builds autonomous aircraft for defense

Senior Autonomy Integration Engineer

AvionicsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
  • Typically requires at least 7 years of related experience with a Bachelor’s degree, 5 years with a Master’s degree, or 4 years with a PhD, or equivalent work experience.
  • Proficiency in C++ and Python, and familiarity with real-time operating systems.
  • Proficiency in Linux-based development and experience with embedded systems, shell scripting, and system diagnostics.
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks such as ROS and DDS.
  • Hands-on experience supporting flight demonstrations or live exercises.
  • Experience with simulation tools and environments for testing and validation.
  • Ability to troubleshoot and optimize system performance.
  • Ability to work effectively in a collaborative, multidisciplinary environment.

Responsibilities

  • Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
  • Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Work closely with autonomy, guidance, navigation, and control (GNC), systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
  • Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
  • Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

Desired Qualifications

  • Direct experience supporting unmanned aerial systems or similar flight test campaigns.
  • Familiarity with autonomy stacks, flight control systems, or guidance, navigation, and control (GNC) pipelines.
  • Competence in sensor integration, electronics debugging, or avionics bring-up.
  • Proficiency in developing automation tools for system testing, logging, and data parsing.
  • Comfort interfacing with Department of Defense (DoD) stakeholders during field events or technical reviews.
  • Experience with UCI and OMS 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
Series G
Total funding
$3.3B
Headquarters
San Diego, CA
Founded
2015

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