<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>b417d598-574</externalid>
      <Title>Lead Survivability Engineer</Title>
      <Description><![CDATA[<p>At Shield AI, we&#39;re building the most intelligent autonomous aircraft ever deployed. 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>
<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>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.</li>
<li>Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.</li>
<li>Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.</li>
<li>Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.</li>
<li>Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.</li>
<li>Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.</li>
<li>Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.</li>
<li>7+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.</li>
<li>Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.</li>
<li>Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.</li>
<li>Practical experience with LO testing methods and RCS measurement equipment.</li>
<li>Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.</li>
<li>Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.</li>
<li>U.S. Citizenship and active Secret clearance required (TS/SCI preferred).</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Experience with military UAV platforms or 5th-gen fighter programs.</li>
<li>Background in survivability analysis in contested environments (e.g., IADS, radar networks).</li>
<li>Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.</li>
<li>Ability to contribute to the design, test, and fielding of a fully integrated LO platform.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$168,476 - $252,714 a year</Salaryrange>
      <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</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, developing intelligent systems to protect service members and civilians.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/0ea1cea2-6bb5-40e9-a3ca-c9ab45498454</Applyto>
      <Location>Dallas</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>b7c2d733-43f</externalid>
      <Title>Principal Engineer, Survivability</Title>
      <Description><![CDATA[<p>At Shield AI, we&#39;re building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what&#39;s possible in contested environments, we are looking for a Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft.</p>
<p>This role is ideal for an experienced engineer with 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>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.</li>
<li>Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.</li>
<li>Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.</li>
<li>Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.</li>
<li>Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.</li>
<li>Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.</li>
<li>Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.</li>
<li>10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.</li>
<li>Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.</li>
<li>Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.</li>
<li>Practical experience with LO testing methods and RCS measurement equipment.</li>
<li>Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.</li>
<li>Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.</li>
<li>U.S. Citizenship and active Secret clearance required.</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Experience with military UAV platforms or 5th-gen fighter programs.</li>
<li>Background in survivability analysis in contested environments (e.g., IADS, radar networks).</li>
<li>Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.</li>
<li>Ability to contribute to the design, test, and fielding of a fully integrated LO platform.</li>
<li>Active Top Secret or SCI clearance.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$200,000 - $310,000 a year</Salaryrange>
      <Skills>Radar Cross-Section (RCS) Shaping, Low Observable (LO) Materials, Electromagnetic Signature Modeling, HFSS, CST Studio Suite, Xpatch, SENRi, Collaboration, Communication, Military UAV Platforms, 5th-Gen Fighter Programs, Survivability Analysis, Platform CONOPS, Threat Modeling, Mission-Level Survivability Assessments</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015 with a mission to protect service members and civilians with intelligent systems.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/0d1400ec-f456-4d5b-8592-740a656260b0</Applyto>
      <Location>San Diego</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>