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Senior Autonomy Integration Engineer

Shield AI· Flight System Integration
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Hybrid (London)Full Time EmployeePosted 2mo ago

About the role

Senior role focused on deploying autonomy software onto unmanned platforms, integrating hardware and software, preparing systems for flight, and troubleshooting mission-critical issues in lab and field environments. Bridges R&D and deployment across hardware, software, and systems engineering in a fast-paced defense-tech context.

Responsibilities

  • System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
  • On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
  • Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
  • Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

Qualifications

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar degree, or equivalent practical experience.
  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Hands-on experience supporting flight demos or live exercises.
  • Experience with simulation tools and environments for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.

Skills

Required:C++PythonRTOSLinuxSensor integration / fusionFlight testing / demos
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Shield AI

Autonomy for the world.

Our mission is to protect service members and civilians with intelligent systems.

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