SAIC

Radar Analyst

SAIC$95K — $115K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Physics, or a related field with 5+ years of experience (Master's with 3+)
  • Active Top Secret/SCI Clearance w/Poly
  • Understanding of radio frequency sensing systems
  • Strong mathematics background
  • Intermediate Python programming experience; familiarity with libraries like NumPy, SciPy, pandas, and matplotlib
  • General understanding of orbit theory and propagation

Responsibilities

  • Collaborate in a team to design and develop radar application algorithms
  • Develop and maintain physics-based simulation models for radar systems
  • Conduct radar sensor modeling and digital signal processing tasks
  • Automate workflows and perform data analysis using scripting languages
  • Generate technical documentation and visualizations to support design
  • Provide modeling insights for trade studies and design reviews

Benefits

  • Flexible work schedules
  • Opportunities for professional development
  • Access to cutting-edge technology and tools
  • Collaborative team-focused environment
  • Support for continuing education and certification programs
Full Job Description
Job Description

SAIC is seeking an individual for a Radar Analyst role to join the Air Force, Space and Intel Business Group. This group provides specialized program management, engineering, analysis and operations support to a variety of Intelligence Community (IC) and Department of Defense (DoD) customers. You would support the cutting-edge programs in national security-related systems based in space, in the air and on the ground.

This Radar Analyst role will work in a collaborative team-focused environment in designing and developing algorithms and tools which will be used in modeling and processing radar applications and analysis. This position will help advance current and future concepts to inform missions and potential acquisitions. Your role will be to provide expertise and proficiency to develop algorithms and provide modeling and simulation efforts supporting radar analysis.

The successful candidate would have the qualifications:
Active Top Secret/SCI Clearance w/Poly
  • Experience in developing and maintaining physics-based simulation models of radar pertaining to ground, air or space systems
  • Conducting radar sensor modeling, data analysis and digital signal processing of collected or simulated data products
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Generate technical documentation, simulation reports, and visualizations to communicate findings and support design decisions.
  • Support trade studies and design reviews by providing modeling insights into performance impacts of design changes.


Qualifications

  • Bachelor's degree in Electrical Engineering, Physics, or a related field with 5 years of professional technical experience (Master's degree with 3 years
  • Active Top Secret/SCI Clearance w/Poly
  • Understanding of radio frequency sensing systems
  • Strong mathematics background
  • Intermediate Python programming experience preferred. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • General understanding of orbit theory, orbit determination, and orbit propagation


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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