Autonomy Integration Engineer

Shield AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Teamwork","Problem-solving","Linux","C++","Python","RTOS","ROS","DDS","Shell scripting","Embedded systems","Diagnostics"]

Join Shield AI as an Autonomy Integration Engineer to deploy and integrate autonomy software on unmanned aircraft, lead pre-flight preparation, support live flight tests, and debug hardware/software stacks across lab and field environments. You'll collaborate with autonomy, GNC, systems, and test teams, travel 30-40% of the year, and drive continuous improvement and certification readiness for defense-relevant applications.

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FursaFursa
Shield AI
Shield AI
2 months ago

Autonomy Integration Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Join Shield AI as an Autonomy Integration Engineer to deploy and integrate autonomy software on unmanned aircraft, lead pre-flight preparation, support live flight tests, and debug hardware/software stacks across lab and field environments. You'll collaborate with autonomy, GNC, systems, and test teams, travel 30-40% of the year, and drive continuous improvement and certification readiness for defense-relevant applications.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key 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.
Travel: High travel

Key Requirements

  • •BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar; 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 C++ and Python; familiarity with real-time operating systems (RTOS).
  • •Proficiency in Linux-based development and experience with embedded systems, shell scripting, and system diagnostics.
  • •Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
Experience:7+ yearsDefenseAerospaceUnmanned systems
Education:Bachelor's
Skills:CommunicationTeamworkProblem-solvingLinuxC++PythonRTOSROSDDSShell scriptingEmbedded systemsDiagnostics
Tech Stack:C++PythonRTOSLinuxROSDDSShell scriptingEmbedded systems

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn