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Subject Matter Expert SIGINT 3

Subject Matter Expert SIGINT 3

CompanyWyetech
LocationHanover, MD, USA
Salary$84.16 – $139.68
TypeFull-Time
DegreesBachelor’s
Experience LevelExpert or higher

Requirements

  • TS/SCI with agency appropriate poly
  • Ten (10) years experience with SIGINT Development analytic support.
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or Computer Science from an accredited college or university.
  • In lieu of a degree an additional four (4) years of experience may be substituted.

Responsibilities

  • Provide SIGINT Development (SIGDEV) analytic support to optimize and develop assigned customer accesses, ensuring effective signal processing and intelligence gathering.
  • Analyze module/model output from signals of interest to facilitate the creation of follow-on processing, enhancing the overall effectiveness of signal interpretation.
  • Design and implement software modules in MATLAB or similar design suites to process signals of interest, ensuring adherence to performance and accuracy standards.
  • Develop novel approaches for utilizing Commercial Off-The-Shelf (COTS) and Government Off-The-Shelf (GOTS) systems to create processing solutions beyond their intended use, optimizing resource utilization.
  • Work closely with cross-functional teams, including systems engineers and analysts, to gather requirements and ensure the successful integration of software modules into broader systems.
  • Maintain thorough documentation of design processes, algorithms, and software implementations to facilitate knowledge transfer and project continuity.

Preferred Qualifications

  • Demonstrated experience coding in C/C++ and Python.
  • Experience with Software-Defined Radios (SDRs), specifically REDHAWK/RFNext, GNU Radio, or similar platforms.
  • Strong background in RF signals analysis and SIGnals DEVelopment (SIGDEV).
  • Familiarity with development suites such as MATLAB or X-Midas for signal processing tasks.
  • Ability to design, develop, and implement systems within a Unix/Linux environment.
  • Familiarity with Docker and Kubernetes for containerization and orchestration of applications.
  • Strong understanding of DSP principles, with a background in satellite communications system design and the implementation of these concepts into software.
  • Familiarity with time and/or frequency geolocation technologies and their implementation in signal processing applications.
  • Experience with C++/Python-based signal processing tools and libraries.
  • Knowledge of GPU/CUDA development for performance optimization in signal processing applications.
  • Experience with message queue implementation and communication protocols for efficient data handling.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Adaptability and a commitment to continuous learning and improvement.