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Radar Signals Engineer

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: APEX TK LLC
Full Time position
Listed on 2026-10-24
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

APEX TK is seeking a highly motivated and skilled Radar Signals Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.

Responsibilities:
  • Work with our modeling and simulation team to conduct a wide variety of analyses involving radars tracking satellites in all types of Earth orbits
  • Satellite-tracking radar signal designs and signal processing algorithms
  • Radar antenna design
  • Performance analyses of satellite target detection, acquisition, tracking and characterization
  • Radar return modeling using 3D satellite models
  • Work with experts in astrodynamics, optical sensing, AI, and High Performance Computing
  • Use programming languages such as Python, C++, MATLAB, or others to leverage existing analysis tools and develop new ones
  • Conduct independent trade studies and technical assessments
  • Review and validate algorithms and results provided by external teams
  • Develop and present actionable technical briefings
Required Qualifications:
  • 2-10 years of relevant experience.
  • Bachelor’s Degree in a STEM related field such as Engineering, Mathematics, Physics, Aerospace, Computer Science, etc.
  • Active Top Secret/SCI w/ CI Poly Clearance
  • Experience performing space-related engineering analysis (collecting, organizing, analyzing data) using one or more of the following: C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK
  • Ability to communicate findings and recommendations to internal and external customers
  • Solid understanding of satellite-tracking radar signals
Preferred Qualifications:
  • Master's degree in a STEM related field.
  • Experience with other simulation tools and programming languages.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
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