A complete application in a minute — tailored resume and cover letter, ready to send.
Shield AI in San Mateo, CA, is seeking an experienced systems integration engineer to deploy autonomy software on unmanned aircraft, own flight-ready build processes, and support live flight tests. You will debug across hardware and software, capture flight data, and collaborate with autonomy, GNC, and test teams to validate complex systems.
The role requires hands-on experience with Linux, C++, Python, and autonomy stacks, plus the ability to travel to test sites and interact with DoD
This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A 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 environmentsThe role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditionsHands-on experience supporting flight demos or live exercisesAbility to obtain a SECRET clearanceStrong problem-solving skills, with the ability to troubleshoot and optimize system performanceProficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnosticsKnowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validationExcellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environmentBS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceTypically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional experienceProficiency 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 pipelinesDirect experience supporting unmanned aerial systems or similar flight test campaignsCompetence in sensor integration, electronics debugging, or avionics bring-upProficiency in developing automation tools for system testing, logging, and data parsingComfortable interfacing with DoD stakeholders during field events or technical reviewsExperience with UCI and OMS Standards