{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/signature-modeling"},"x-facet":{"type":"skill","slug":"signature-modeling","display":"Signature Modeling","count":4},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b417d598-574"},"title":"Lead Survivability Engineer","description":"<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>\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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Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.</p>\n<p>Ansys Government Initiatives (AGI) is a wholly owned subsidiary of Synopsys, focused on advancing digital modeling and simulation for critical aerospace and defense applications. Our Ansys Customer Excellence (ACE) team collaborates with industry leaders and government agencies to model real-world systems and deliver state-of-the-art solutions for multi-domain, missile defense, sensor simulation, and AI/ML-driven analysis.</p>\n<p>You Are:</p>\n<p>You are a highly experienced engineering professional with a passion for advancing technology in aerospace and defense. Your expertise spans missile defense, sensor phenomenology, and signature modeling, allowing you to bridge the gap between physics-based simulations and real-world operational needs. You thrive in environments where complex systems require innovative thinking and technical rigor, and you are eager to make a meaningful impact on national security and defense initiatives.</p>\n<p>Your deep domain knowledge enables you to integrate multi-domain sensing systems and radar phenomenology into simulation frameworks, supporting next-generation analysis and simulation. You possess a strong background in modeling threat trajectories, sensing environments and phenomenology, and generating datasets for AI/ML training. Your technical leadership and collaborative spirit empower you to work alongside subject matter experts, government partners, and industry stakeholders, ensuring the highest standards of simulation fidelity and accuracy.</p>\n<p>With an active DoD TS/SCI clearance, you are ready to tackle sensitive and challenging projects. Your self-motivation, organizational skills, and ability to multitask equip you to excel in a fast-paced, timeline-driven environment. You are fluent in technical communication, adept at problem-solving, and driven to succeed in contributing to the aerospace and defense community.</p>\n<p>What You’ll Be Doing:</p>\n<ul>\n<li><p>Develop high-fidelity modeling and simulation environments for air and missile defense systems.</p>\n</li>\n<li><p>Model threat trajectories and associated signature behaviors across multiple sensing modalities, including RF, IR, and other relevant spectra.</p>\n</li>\n<li><p>Develop and integrate signature simulation capabilities to represent realistic missile launch, staging events, and associated sensor-observable phenomena.</p>\n</li>\n<li><p>Apply expertise in radar phenomenology and RF sensing systems, including understanding how different radar bands and sensor architectures observe and interpret target behavior.</p>\n</li>\n<li><p>Simulate complex sensor observations for threat detection, tracking, discrimination, and battle management decision support.</p>\n</li>\n<li><p>Implement and utilize advanced modeling frameworks to represent sensing systems, track fusion, and custody management functions across the missile defense kill chain.</p>\n</li>\n<li><p>Contribute to the design and generation of synthetic data environments for training AI/ML systems used in sensor interpretation, target discrimination, and data fusion</p>\n</li>\n<li><p>Develop robust training datasets covering target-present and target-absent scenarios to mitigate algorithmic bias.</p>\n</li>\n<li><p>Collaborate with experts in signature characterization, sensor phenomenology, and threat modeling to ensure simulation fidelity and technical accuracy.</p>\n</li>\n<li><p>Support integration of modeling and sensing simulations into larger operational and analysis frameworks.</p>\n</li>\n<li><p>Provide technical leadership in missile defense sensing, signature modeling, and simulation fidelity.</p>\n</li>\n<li><p>Assist in defining modeling requirements and technical approaches for emerging programs involving generative simulation of sensing systems.</p>\n</li>\n</ul>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Advance the development of next-generation air and missile defense systems through high-fidelity simulations.</li>\n<li>Enhance the realism and accuracy of threat modeling, supporting critical defense analysis and simulation.</li>\n<li>Drive innovation in sensor simulation and data generation for AI/ML applications in defense environments.</li>\n<li>Improve operational effectiveness by enabling robust detection, tracking, and discrimination capabilities.</li>\n<li>Support national security initiatives through technical leadership and expertise in missile defense architectures.</li>\n<li>Foster collaboration across government, industry, and research partners to deliver impactful solutions.</li>\n<li>Mitigate algorithmic bias and improve machine learning model performance with comprehensive synthetic datasets.</li>\n<li>Contribute to the integration of advanced simulation tools into broader operational frameworks, enhancing overall system capabilities.</li>\n</ul>\n<p>What You’ll Need:</p>\n<ul>\n<li>BS degree in Engineering, Physics, Computer Science, or related field (Minimum Requirements -BS+10, MS+8years of experience, Preferred Requirements-BS+12, MS+10, or PhD+7years of experience).</li>\n<li>Proficiency in MATLAB or Python scripting for modeling and interfacing with DoD systems.</li>\n<li>Extensive experience in air and missile defense systems and related sensor architectures.</li>\n<li>Deep understanding of sensor phenomenology and signature modeling, including RF and IR signatures.</li>\n<li>Experience with real-world radar or EO/IR systems and data, to include threat systems.</li>\n<li>Experience modeling radar sensing environments, including knowledge of radar bands (e.g., X-band) and their implications for target detection and characterization</li>\n<li>Experience with Systems Tool Kit (STK) and Advanced Framework for Simulation, Integration and Modeling (AFSIM).</li>\n<li>Familiarity with track fusion, discrimination algorithms, and battle management concepts within missile defense architectures.</li>\n<li>Experience generating synthetic datasets for AI/ML training.</li>\n<li>Understanding of machine learning data preparation and bias mitigation for sensor and target recognition applications.</li>\n<li>Understanding of missile flight dynamics, including staging events and trajectory behaviors that impact sensor observables.</li>\n<li>This position requires an active government security clearance, TS/SCI. 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The team collaborates closely with government agencies, laboratories, and industry partners to deliver innovative solutions that shape the future of air and missile defense. 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