Electronic Warfare M&S Engineer, Mid

Booz Allen Hamilton•Beavercreek, OH

9d•$61,900 - $141,000•Onsite

About The Position

Booz Allen is seeking an electrical engineer or physicist to develop modeling and simulation (M&S) capabilities for the RF spectrum and Electronic Warfare technologies. The role focuses on developing architecture models and frameworks, including models of existing and emerging ground-based air defense systems and algorithms and software for modeling modern radar signal space. The engineer will use C or C++, MATLAB, and Python to develop models of signal processing and Electronic Warfare techniques. The work includes designing, developing, evaluating, and improving M&S techniques, software, and algorithms for users in defense and intelligence communities. The position is based in Beavercreek, Ohio and is not remote. Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information.

Requirements

At least 5 years of experience in signal processing or radar analysis.
Knowledge of digital signal processing, C++, and Python.
Ability to work independently and as part of a group.
Ability to obtain a Secret clearance.
Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, or Physics.

Nice To Haves

Experience in Agile software development.
Experience with statistical analysis, AI or ML, and mathematical optimization.
Knowledge of Electronic Warfare methods and analysis, mission analysis, and signals analysis.
Top Secret clearance.
Master’s degree in Electrical Engineering preferred; Doctorate degree in Electrical Engineering is a plus.

Responsibilities

Develop architecture models and architecture frameworks.
Develop models of existing and emerging ground-based systems involved in air defense.
Develop algorithms and software for modeling modern radar signal space.
Use programming languages such as C or C++, MATLAB, and Python to develop models of signal processing and Electronic Warfare techniques.
Design, develop, evaluate, and improve modeling and simulation techniques, software, and algorithms.