2027 Low Observables Engineer Intern

Costa Mesa · Costa Mesa, CA (OC-00) · USD 34-50 / hour · Internship · Posted Oct 19, 2026

At a glance

This is an intern role open to engineers finishing a degree in aerospace, electrical, or mechanical engineering.
Low Observables work sits at the intersection of aerospace, electrical, and mechanical engineering to reduce radar and infrared signatures.
You will be paired with an LO engineer and start on a scoped piece of a live program, not a training exercise.

Run broadband Radar Cross Section (RCS) analysis on components and full air vehicles, and learn to judge when a prediction can be trusted
Support the design and development of Low Observable unmanned air systems, from early configuration trades through detailed design
Build and improve the analysis tools, scripts, and validation workflows the team runs on
Model LO materials and treatments, and help select and optimize them for specific components
Support manufacturing and validation planning, including tolerances, inspection methods, and what is actually producible at rate
Help plan and execute RCS measurement campaigns in indoor chambers and on outdoor ranges, then reduce and interpret the data
Compare measured results against predictions, chase down the disagreements, and feed what you learn back into the models

Must be pursuing a bachelor’s or master’s degree in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or a related field.
Must be returning to school at the end of the internship to continue academic studies for at least one quarter or semester.
Must be a U.S. Person due to required access to U.S. export-controlled information or facilities; U.S. clearance eligibility may be required depending on program.
Ability to complete an in-person 12-week internship in one of our offices in summer 2027.

Coursework in at least one of: electromagnetics or RF, aircraft or vehicle design, or materials and manufacturing processes
Working knowledge of a scripting or analysis language such as MATLAB, Python, or C++
Familiarity with a 3D CAD package such as NX, CATIA, SolidWorks, or Creo
Demonstrated hands-on engineering work: a capstone or senior design project, internship, undergraduate research, or a student competition team
Ability to explain a technical result clearly, in writing and in a design review
Exposure to any electromagnetic simulation tool, such as HFSS, CST, FEKO, or COMSOL
Coursework or project experience with composites, additive manufacturing, casting, or injection molding
Experience with laboratory RF measurement: network analyzers, anechoic chambers, or antenna pattern measurement