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Staff Engineer, Survivability (R5885)

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 sof

Job Source description available
Shield AI Seattle, Seattle, Washington · Dallas, Texas, Washington, D.C. Source published Sep 22, 2026 Source retrieved Oct 24, 2026
Source: Shield AI (lever) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull Time Employee

Overview

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 sof

Full job description

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 www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Job Description: At Shield AI, we're building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what’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. 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’ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.

Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration. Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi. Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one. Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations. Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints. Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability. Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.

B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline. Typically requires a minimum of 7 years of related experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems. Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi. Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration. Practical experience with LO testing methods and RCS measurement equipment. Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies. Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams. U.S. Citizenship and active Secret clearance required (TS/SCI preferred). Ability to obtain a S//SAR level security clearance desired.

Experience with military UAV platforms or 5th-gen fighter programs. Background in survivability analysis in contested environments (e.g., IADS, radar networks). Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments. Ability to contribute to the design, test, and fielding of a fully integrated LO platform.

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