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Autonomy Integration Engineer

Shield AI · London, United Kingdom

External listingfull-time4 days ago

About The Role

Join our team as an Autonomy Integration Engineer, where you'll tackle complex integration challenges across hardware, software, and systems engineering. You'll be responsible for deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. This dynamic role requires hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. You'll work closely with various teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

  • 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.
  • Direct experience supporting unmanned aerial systems or similar flight test campaigns
  • 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
  • Hands-on experience supporting flight demos or live exercises
  • Familiarity with autonomy stacks, flight control systems, or GNC pipelines
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
  • Proficiency in developing automation tools for system testing, logging, and data parsing
  • Competence in sensor integration, electronics debugging, or avionics bring-up
  • Experience with UCI and OMS Standards
  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Experience with simulation tools and environments for testing and validation
  • 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
  • Comfortable interfacing with DoD stakeholders during field events or technical reviews

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