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Shield AI is seeking a Flight Integration Engineer to bridge R&D and deployment of autonomous unmanned aircraft systems. You will integrate autonomy software with onboard compute, sensors, and control interfaces, ensuring reliable operation in both lab and field environments.
The role covers pre-flight build/configuration, flight test support, data capture and analysis, debugging, and cross-team collaboration. A SECRET clearance or ability to obtain one is required for defense-relevant work.
This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineeringA 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 environments
The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions
Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
Ability to obtain a SECRET clearance
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Hands-on experience supporting flight demos or live exercises
Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
Familiarity with autonomy stacks, flight control systems, or GNC pipelines
Direct experience supporting unmanned aerial systems or similar flight test campaigns
Competence in sensor integration, electronics debugging, or avionics bring-up
Proficiency in developing automation tools for system testing, logging, and data parsing
Comfortable interfacing with DoD stakeholders during field events or technical reviews
Experience with UCI and OMS Standards