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As we push the boundaries of what&#39;s possible in contested environments, we are looking for a Lead Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft.</p>\n<p>This role is ideal for an experienced engineer with deep expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You&#39;ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.</li>\n<li>Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.</li>\n<li>Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.</li>\n<li>Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.</li>\n<li>Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.</li>\n<li>Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.</li>\n<li>Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.</li>\n<li>7+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.</li>\n<li>Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.</li>\n<li>Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.</li>\n<li>Practical experience with LO testing methods and RCS measurement equipment.</li>\n<li>Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.</li>\n<li>Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.</li>\n<li>U.S. Citizenship and active Secret clearance required (TS/SCI preferred).</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience with military UAV platforms or 5th-gen fighter programs.</li>\n<li>Background in survivability analysis in contested environments (e.g., IADS, radar networks).</li>\n<li>Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.</li>\n<li>Ability to contribute to the design, test, and fielding of a fully integrated LO platform.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b417d598-574","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/0ea1cea2-6bb5-40e9-a3ca-c9ab45498454","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$168,476 - $252,714 a year","x-skills-required":["Radar Cross-Section (RCS) Shaping","Low Observable (LO) Materials","Electromagnetic Signature Modeling","HFSS","CST Studio Suite","Xpatch","SENRi","Low Observable (LO) Testing Methods","Radar-Absorbing Materials (RAM)","LO Coatings","Structural LO Trade Studies"],"x-skills-preferred":["Military UAV Platforms","5th-Gen Fighter Programs","Survivability Analysis in Contested Environments","Platform CONOPS","Threat Modeling","Mission-Level Survivability Assessments"],"datePosted":"2026-04-17T13:06:40.508Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Radar Cross-Section (RCS) Shaping, Low Observable (LO) Materials, Electromagnetic Signature Modeling, HFSS, CST Studio Suite, Xpatch, SENRi, Low Observable (LO) Testing Methods, Radar-Absorbing Materials (RAM), LO Coatings, Structural LO Trade Studies, Military UAV Platforms, 5th-Gen Fighter Programs, Survivability Analysis in Contested Environments, Platform CONOPS, Threat Modeling, Mission-Level Survivability Assessments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":168476,"maxValue":252714,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b7c2d733-43f"},"title":"Principal Engineer, Survivability","description":"<p>At Shield AI, we&#39;re building the most intelligent autonomous aircraft ever deployed. 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