Lead LO & Survivability Engineer for Autonomous Aircraft

Shield; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking a Lead Survivability Engineer to shape low observable performance for next‑gen autonomous aircraft. You will drive LO features, RAM integration, and EM signature modeling across disciplines, collaborating with propulsion, avionics, and structures teams.

The role requires deep RAM materials knowledge, RCS shaping, and hands‑on testing experience, with active U.S. citizenship and security clearance preferences.

Qualifications

• Bachelor or Master degree in a relevant field (Aerospace/Electrical/Physics).
• Experience with LO/survivability on tactical aircraft, UAVs, or stealth systems is preferred.
• Strong collaboration across design, test, and manufacturing teams.

Responsibilities

• Design and optimize low observable features across the airframe focusing on shaping and RAM integration.
• Model and simulate electromagnetic signatures using HFSS, CST Studio Suite, Xpatch, and SENTRi.
• Work with propulsion, avionics, structures, and AI to bake survivability into system architecture.
• Lead or support signature testing, including RCS range tests and supplier evaluations.
• Translate threats into survivability features addressing RCS, thermal, visual, and acoustic observability constraints.
• Collaborate with materials scientists to mature RAM coatings for manufacturability and durability.
• Support internal and customer threat modeling reviews and program milestones.

Skills

Collaboration

Communication

Teamwork

Education

B.S./M.S. in Aerospace/EE/Physics

Tools

HFSS

CST Studio Suite

Xpatch

SENTRi

Job description

Shield AI is seeking a Lead Survivability Engineer to shape low observable performance for next‑gen autonomous aircraft. You will drive LO features, RAM integration, and EM signature modeling across disciplines, collaborating with propulsion, avionics, and structures teams.

The role requires deep RAM materials knowledge, RCS shaping, and hands‑on testing experience, with active U.S. citizenship and security clearance preferences.