Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. In this role you will build the quantitative backbone that predicts how the system fails, why it fails, and how to design those failures out — translating field data, industry sources, and test results into models that directly inform design, production, and sustainment decisions. You will be the reliability subject-matter expert who partners across Design, Manufacturing, Quality, and Fleet Support to drive measurable improvements in system reliability. Build and maintain the V-BAT system reliability model, predicting system-level failure rate using failure-rate data from the field and industry sources. Partner with Design, Fleet Support, Quality, and Manufacturing Engineers on root cause investigations for field failures, and drive corrective and preventive actions to closure. Drive reliability test campaigns in production and sustainment to verify the system is meeting its reliability requirements and predictions, feeding results back into the model. Drive production reliability screening campaigns to reduce infant-mortality failures, such as HASS (Highly Accelerated Stress Screening)



and ESS (Environmental Stress Screening). S. in Engineering, Mathematics, or Statistics discipline. Typically requires a minimum of 7 years of related experience in reliability or surety engineering in a high-consequence industry (defense, aerospace, automotive, or medical device). Expertise in Fault Tree Analysis (FTA), Failure Modes, Effects, and Criticality Analysis (FMECA), and Mean Time Between Failure (MTBF) calculations. Demonstrated ability to build reliability models from field and test data and translate them into actionable design and production decisions. Experience with Reliability, Availability, and Maintainability (RAM) modeling and Weibull analysis. Experience with reliability analysis software such as Relyence (or equivalent tools such as ReliaSoft/Weibull++, Windchill Risk & Reliability). Experience implementing FRACAS (Failure Reporting, Analysis, and Corrective Action System) and supporting Failure Review Boards. Experience with unmanned aircraft, aerospace, or other mission-critical hardware systems. $Full-time regular employee offer package: Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) If you have a disability or special need that requires accommodation, please let us know. If you would like more information about how your data is processed, please contact us.

📌 Staff Engineer, System Reliability (España)
🏢 shieldai
📍 España