Low Observables Engineer

Lockheed Martin•Palmdale, CA

1d•Onsite

About The Position

You will be the Low Observables Engineer for the Low Observables team (Signature Management & Survivability) which is responsible for advancing stealth and signature reduction technologies. What You Will Be Doing As the Low Observables Engineer you will be responsible for leading the development, analysis, and integration of low‑observable solutions across the aircraft survivability portfolio. Your responsibilities will include: Perform, analyze, and communicate vehicle signature predictions using Unix‑based codes and tools. Lead signature‑reduction trade studies and optimization campaigns for platform‑level and component‑level designs. Plan and execute laboratory measurements of material coupons and vehicle signature tests, and report results. Develop and apply advanced electromagnetic metamaterials, including modeling, fabrication, and testing. Write and maintain scripts for batch analysis and post‑processing to accelerate data workflows. What’s In It For You We are committed to supporting your work‑life balance and overall well-being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus – if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Who You Are You are a collaborative technical leader with deep expertise in aircraft stealth, radar cross‑section, and computational electromagnetics. Your communication skills allow you to translate complex concepts into clear briefings for leadership and customers. You thrive in fast‑paced, multidisciplinary environments, drive innovative solutions, and mentor peers as they grow. Further Information About This Opportunity MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must possess an active Secret clearance to start.

Requirements

Bachelor’s degree in Electrical Engineering or Physics or related technical degree/equivalent experience in RCS/LO technology with 1+ years of related professional experience; or Master’s degree in Electrical Engineering or Physics or related technical degree/basic knowledge of RCS/LO technology
Professional experience in RCS, LO technology, RF, CEM simulations, or electromagnetics
U.S. Citizenship
Ability to obtain and maintain a DoD Top Secret Security Clearance

Nice To Haves

Active DoD Top Secret Security Clearance or TS//SCI
Recognized experience in low observables (LO), survivability, or susceptibility
Experience with radar cross section reduction (RCSR) or radio-frequency (RF) antenna design/integration
Expertise in LO modeling and predictions with experience using one or more of the following: Computational electromagnetics (CEM), Method of Moments (MoM), Xpatch, SENTRi, HFSS
Experience with LO integration / multi-discipline air vehicle systems design
Experience in RCS range testing
Experience with LO materials and LO material integration onto physical platforms
Knowledge of RADAR, RF materials, RF material measurements
Cultivation, pursuit, capture, project or program management, and execution of signature technology IRAD & CRAD projects
Programming with C/C++, Java, Fortran, Matlab, Python
CAD software literacy for model cleanup and meshing

Responsibilities

Perform, analyze, and communicate vehicle signature predictions using Unix‑based codes and tools.
Lead signature‑reduction trade studies and optimization campaigns for platform‑level and component‑level designs.
Plan and execute laboratory measurements of material coupons and vehicle signature tests, and report results.
Develop and apply advanced electromagnetic metamaterials, including modeling, fabrication, and testing.
Write and maintain scripts for batch analysis and post‑processing to accelerate data workflows.