Experienced Low Observables Design & Integration Engineer
The Boeing Company
Full-time
other-general
Location
Berkeley, MO, United States
Posted
June 10, 2026
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 optim...
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 optim...