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Experienced Low Observables Design & Integration Engineer
Boeing
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saint louis, United-States
Location
saint louis
Posted
June 09, 2026
Commute
Local Area
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Job Description
Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Defense, Space & Security (BDS) - Phantom Works organization in St. Louis, Missouri , is seeking an Experienced Low Observables (LO) Design and Integration Engineer to support design, analysis, and propulsion subsystem integration of low-observable materials, treatments, and architectures.
The ideal candidate will have hands-on experience with LO materials and technologies, demonstrated experience integrating LO solutions with advanced propulsion systems, strong understanding of electromagnetic (EM) principles affecting radar cross section (RCS) and signature, and practical experience using computational electromagnetic (CEM) solvers to design, predict, and optimize low observable systems.
Key Resp...
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Defense, Space & Security (BDS) - Phantom Works organization in St. Louis, Missouri , is seeking an Experienced Low Observables (LO) Design and Integration Engineer to support design, analysis, and propulsion subsystem integration of low-observable materials, treatments, and architectures.
The ideal candidate will have hands-on experience with LO materials and technologies, demonstrated experience integrating LO solutions with advanced propulsion systems, strong understanding of electromagnetic (EM) principles affecting radar cross section (RCS) and signature, and practical experience using computational electromagnetic (CEM) solvers to design, predict, and optimize low observable systems.
Key Resp...