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Shield AI is seeking a Flight Integration Engineer to bridge R&D and deployment for unmanned aircraft systems. You will integrate autonomy software across onboard compute, sensors, and control interfaces, and own the build, configuration, and validation for flight-ready systems.
You will support on-site flight tests, troubleshoot field issues, and collaborate with autonomy, GNC, systems, and test teams to ensure mission readiness and timely delivery.
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environmentCompetence in sensor integration, electronics debugging, or avionics bring-upTypically 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 experienceA successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environmentsBS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceDirect experience supporting unmanned aerial systems or similar flight test campaignsProficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnosticsAbility to obtain a SECRET clearanceStrong problem-solving skills, with the ability to troubleshoot and optimize system performanceFamiliarity with autonomy stacks, flight control systems, or GNC pipelinesExperience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validationThis position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineeringKnowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)Hands-on experience supporting flight demos or live exercisesProficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)Proficiency in developing automation tools for system testing, logging, and data parsingThe role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditionsComfortable interfacing with DoD stakeholders during field events or technical reviewsExperience with UCI and OMS Standards