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Radar Signals Engineer - Space Surveillance

SAICChantilly, VA🇺🇸United StatesPosted 6 Jul 2026

Quick Overview

Salary
$160.0k - $200k/yr
Work Type
Remote
Level
Mid Senior

Job Description

Job ID: 2614117

Location: Chantilly, VA, US

Date Posted: 2026-06-30

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking an experienced Radar Signals Engineer to conduct technical modeling of ground-based space surveillance radars' capabilities to detect, track and characterize targets in space. You will develop prototype signal designs and signal processing algorithms as part of a small agile team including experts in advanced astrodynamics and AI. You will collaboratively simulate integrated operations at-scale with support from our cloud computing and supercomputing specialists. Expect regular opportunities to meet with and present findings to local elite government customers.

  • Prototype and evaluate radar signal designs and signal processing algorithms using high-level programming languages to test methods of detecting, tracking and characterizing targets in space.
  • Conduct independent trade studies and technical assessments.
  • Review and validate technical metrics, algorithm descriptions, and data products provided by external teams.
  • Analyze and interpret operational space surveillance radar data to assess sensor performance.
  • Drive critical national decisions by translating complex behaviors and findings into clear, actionable technical briefings and documentation.


Clearance Requirements: TS/SCI with the ability to obtain a Poly. (Note: The current Security Clearance must be held by an IC Customer.)

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm, options to work nine or eight days out of every two weeks.

Salary range: Will be based on qualifications listed below, plus company 401(k) match and discounted employee stock purchase plan.

Employment reliability: Our team supports a fully funded prime contract with the government. Additionally, we routinely provide closely related support to other prime contracts and can shift staff as necessary. As a large company with a major presence in Northern Virginia, SAIC offers a broad array of work opportunities for current employees locally as well as nationally.

Growth and career progression: You will have access to mentoring by highly experienced experts in radar and many other fields. Managers will maintain open communications to ensure that you and the larger team both thrive.

Qualifications

Qualifications:
  • Clearance: TS/SCI held by IC organization with ability to obtain polygraph.
  • Education degree: Electrical Engineering, Applied Math, Physics, or a related technical field.
  • Education and minimum professional experience: Bachelor's plus nine years, Master's plus seven years, or PhD plus four years.
  • Experience: Radar signal design and signal processing modeling including target detection, tracking and characterization.
  • Modeling tools: Advanced, hands-on proficiency using MATLAB, Python, C++, or similar tools.


Desired:
  • Clearance: TS/SCI with an active polygraph.


Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

Skills

Agile

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