<div><span data-contrast="auto">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. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit </span><a rel="noreferrer noopener" href="https://shield.ai/"><span data-ccp-charstyle="Hyperlink">www.shield.ai</span></a><span data-contrast="auto">. Follow Shield AI on </span><a rel="noreferrer noopener" href="https://www.linkedin.com/company/shield-ai"><span data-ccp-charstyle="Hyperlink">LinkedIn</span></a><span data-contrast="auto">, </span><a rel="noreferrer noopener" href="https://x.com/shieldaitech"><span data-ccp-charstyle="Hyperlink">X</span></a><span data-contrast="auto">, </span><a rel="noreferrer noopener" href="https://www.instagram.com/shield_ai"><span data-ccp-charstyle="Hyperlink">Instagram</span></a><span data-contrast="auto">, and </span><a rel="noreferrer noopener" href="https://www.youtube.com/@Shield_AI"><span data-ccp-charstyle="Hyperlink">YouTube</span></a><span data-contrast="auto">.</span><span data-ccp-props="{"335559685":720}"> </span></div><div><br></div><h3>Job Description:</h3> <div>Shield AI is looking for a Reliability Modeling Engineer to own the reliability model and failure-prediction strategy for the V-BAT unmanned aircraft system. 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.</div><h3>What you'll do:</h3><div> <li>Build and maintain the V-BAT system reliability model, predicting system-level failure rate using failure-rate data from the field and industry sources.</li> <li>Create and maintain the V-BAT system fault tree, identifying single points of failure and quantifying their contribution to overall system reliability.</li> <li>Inform design decisions that eliminate single points of failure and improve the reliability of the system, providing Design-for-Reliability (DfR) guidance in design reviews.</li> <li>Partner with Design, Fleet Support, Quality, and Manufacturing Engineers on root cause investigations for field failures, and drive corrective and preventive actions to closure.</li> <li>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.</li> <li>Drive production reliability screening campaigns to reduce infant-mortality failures, such as HASS (Highly Accelerated Stress Screening) and ESS (Environmental Stress Screening).</li> <li>Establish and track reliability metrics — MTBF, failure-rate trends, and reliability growth — and communicate reliability status and risk posture to program leadership.</li> </div><h3>Required qualifications:</h3><div> <li>B.S. in Engineering, Mathematics, or Statistics discipline.</li> <li>5+ years of experience in reliability or surety engineering in a high-consequence industry (defense, aerospace, automotive, or medical device).</li> <li>Expertise in Fault Tree Analysis (FTA), Failure Modes, Effects, and Criticality Analysis (FMECA), and Mean Time Between Failure (MTBF) calculations.</li> <li>Demonstrated ability to build reliability models from field and test data and translate them into actionable design and production decisions.</li> </div><h3>Preferred qualifications:</h3><div> <li>Experience with Reliability, Availability, and Maintainability (RAM) modeling and Weibull analysis.</li> <li>Experience with reliability analysis software such as Relyence (or equivalent tools such as ReliaSoft/Weibull++, Windchill Risk & Reliability).</li> <li>Familiarity with government standards for developing reliability and maintainability models, such as MIL-HDBK-217, 217Plus, and MIL-STD-756.</li> <li>Experience implementing FRACAS (Failure Reporting, Analysis, and Corrective Action System) and supporting Failure Review Boards.</li> <li>CRE (ASQ Certified Reliability Engineer) certification.</li> <li>Experience with unmanned aircraft, aerospace, or other mission-critical hardware systems.</li> </div>
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Defense technology company building AI pilots for aircraft
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