Staff Engineer, Survivability (R5885)
About this role
Shield AI is hiring a Staff Engineer, Survivability (R5885), full-time, on-site in Seattle, Washington, in the DRONES sector.
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.
What you'll do:
- 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.
Required qualifications:
- 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.
Preferred qualifications:
- 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.
Description from Shield AI's official posting. Always confirm details on the company careers page.
About Shield AI
Shield AI
Company in the mobility sector tracked nightly on the Mobility Jobs board.
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About Larry Sherwood Jr.
Talent Acquisition Leader specializing in mobility, EV, and frontier tech. 1,000+ hires across roles ranging from production technicians to VPs, including 48 hires for the AFEELA U.S. launch at Sony Honda Mobility (98% offer acceptance, $1.5M+ agency savings). SHRM-CP certified. Build recruiting functions from scratch, no agencies.
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