Energy Jobline ZR
Lead Survivability Engineer (Dallas) (R4030) in Mundelein
Energy Jobline ZR, Mundelein, Illinois, United States, 60060
Job Description Job Description 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 nine 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 Engineering r
to shape and optimize the low observable (LO) performance of our next‑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).
Additional 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.
#LI-JW2#LE
Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of , , ancestry, , , , , , marital status, , or Veteran status. If you have a or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
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 Engineering r
to shape and optimize the low observable (LO) performance of our next‑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).
Additional 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.
#LI-JW2#LE
Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of , , ancestry, , , , , , marital status, , or Veteran status. If you have a or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr