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Shield AI

Posted 13 months ago

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Staff Engineer, Survivability (Dallas) (R4607)

DallasOn-siteFull-time

AI Summary

Staff Engineer, Survivability designs and optimizes low-observable features for autonomous aircraft, leading EM signature modeling, testing, and cross-disciplinary integration to ensure survivability in contested airspace.

About this role

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.

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.
  • 7+ years of hands-on 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).

    • 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.

    • Skills

    CST Studio SuiteEM SimulationHFSSLow Observable (LO) MaterialsRadar Cross-section (RCS)RAMSENTRiSignature ModelingThreat ModelingXpatch

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