Radar Analyst

Saic

Chantilly (VA)

On-site

USD 120,000 - 160,000

Full time

8 days ago
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Job summary

SAIC invites applications for a Radar Analyst role within the Air Force, Space and Intel Business Group. The successful candidate will design and develop algorithms for radar modeling and processing, supporting national security programs across space, air, and ground domains.

Role emphasizes physics-based simulations, DSP, and automated data workflows using Python or MATLAB, with impactful visualization and technical documentation for design decisions and trade studies.

Qualifications

  • Bachelor's degree in Electrical Engineering, Physics, or related field with 5 years of professional experience (Master’s with 3 years).
  • Active Top Secret/SCI Clearance w/Poly required.
  • Understanding of radio frequency sensing systems.
  • Strong mathematics background.
  • Experience with Python or MATLAB and related libraries for data analysis, modeling, and visualization.

Responsibilities

  • Develop and maintain physics-based simulation models of radar systems.
  • Design and develop algorithms and tools for radar modeling and processing.
  • Perform radar sensor modeling, data analysis, and DSP on collected or simulated data.
  • Automate workflows and data analyses using scripting languages (Python/MATLAB).
  • Create technical documentation, simulation reports, and visualizations for design decisions.
  • Support trade studies and design reviews with modeling insights into performance changes.

Skills

Python
MATLAB
NumPy
SciPy
Pandas
Matplotlib
Strong mathematics
Orbit theory knowledge

Education

Bachelor's degree in Electrical Engineering or Physics
Master’s degree (preferred)

Tools

Python libraries
Modeling & simulation tools

Job description

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

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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