SAIC

Radar Signals Engineer

SAIC$120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Electrical Engineering, Applied Math, Physics, or related field and 14+ years experience; Master's and 12+ years; PhD or JD and 9+ years
  • Experience with target-tracking radar signals
  • Strong background in electrical engineering, advanced mathematics, and digital signal processing
  • Proficient in MATLAB, Python, and C/C++ for data analysis and modeling
  • TS/SCI clearance required, with ability to pass polygraph test

Responsibilities

  • Design satellite-tracking radar signals and processing algorithms
  • Analyze and design antennas
  • Perform analyses on satellite target detection, acquisition, tracking, and characterization
  • Model radar returns using 3D satellite models as needed
  • Develop new analysis tools using programming languages
  • Conduct independent trade studies and technical assessments
  • Review and validate external team algorithms and results

Benefits

  • Collaborative work with experts across multiple disciplines
  • Opportunity to engage with and present findings to senior government stakeholders
  • Access to high performance computing specialists
  • Development of technical briefings for actionable insights
Full Job Description
Job Description

SAIC is seeking a target-tracking Radar Signals Engineer to support modeling, simulation, and analyses of scenarios with radars tracking satellites in all types of Earth orbits. Our multi-discipline team collaborates to deliver comprehensive actionable insights to our customers.

At SAIC's location in Chantilly, Virginia, our Radar Signals Engineers work side-by-side with experts in propulsion, radars, optics, AI/ML, cloud computing, GPUs and more. The team's responsibilities include:

  • Satellite-tracking radar signal designs and signal processing algorithms
  • Antenna design and analyses
  • Performance analyses of satellite target detection, acquisition, tracking and characterization
  • Optional: Radar return modeling using 3D satellite models

As part of an agile team including experts in astrodynamics, optical sensing, and AI you will collaboratively simulate mission operations concepts at-scale with support from our High Performance Computing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.
  • 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 optionally present actionable technical briefings


Qualifications

Bachelors in Electrical Engineering, Applied Math, Physics, or a related technical field(s) and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience
  • Experience Target-tracking radar signals
  • A strong foundation in electrical engineering, advanced mathematics, and digital signal processing.
  • Experienced with MATLAB, Python, and C/C++ for data analysis and modeling.


Clearance: TS/SCI required and must have or be willing and able to pass polygraph test

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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