Role details
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.
Role context
This Staff Engineer, Survivability (R5885) role at Shield AI sits in the engineering track within defense and autonomy. The position is tied to Seattle, Washington, United States and is posted within the last 17 days, which signals active hiring intent rather than archived demand. Compensation is not disclosed in the source listing, so candidates should verify range details directly with the employer. Combined with the live company and role links on this page, this listing gives candidates a direct path to compare equivalent openings by employer, market, and role focus.
Ready for the next step?
Apply directly with Shield Ai
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Location
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Seattle, Washington, United States
Location
Seattle, Washington, United States
Approximate role location based on the employer listing.
Seattle, Washington, United States
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