SAR Imagery Scientist SME

Quick Services LLC; Springfield (IL); On-site; USD 89,000 - 163,000; Full time

Job summary

A leading company is seeking candidates for a role focused on applied image processing and radar analysis. The position involves a combination of technical expertise in image science and remote sensing with responsibilities to develop automated data processing methods. Candidates should have extensive experience, a degree in a related field, and an active security clearance.

Benefits

Paid Time Off

Disability Insurance

Vision Insurance

401(k) Plan

Referral Bonuses

Qualifications

• 8 years of experience in image science or remote sensing.
• Experience processing LIDAR and SAR data.
• Active Top Secret clearance with willingness to obtain CI Polygraph.

Responsibilities

• Develop automated options to download and catalogue data.
• Support the mission partner activities for intelligence reporting.
• Enhance GEOINT analysis efficiency through improved workflows.

Skills

Applied Image Processing

Advanced Analysis of Radar Imagery

Sensor Design Principles

Computer Vision Workflows

Python Scripting

LIDAR Data Processing

SAR Data Expertise

Education

Bachelor's Degree in Image Science

Advanced Degree Preferred

Tools

ArcGIS

QTModeler

ENVI

Google Earth Engine

Tableau

Web Services Development

Job description

Career Opportunities with Quick Services LLC

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This job is located at: NGA, Springfield, VA

Salary Range: $89,700.00 to $162,100.00

Experience with applied image processing and advanced analysis of radar imagery; possess extensive knowledge of imaging radar physics, phenomenology, and phase history processing;

Proficiency with imaging radar analysis techniques utilizing advanced image and signal processing methods and tools to support new signature and methodology development.

A detailed understanding of sensor design principles and their relationship to sensor performance.

Specifically: develop automated options to download and catalogue data; support mission partner activities to identify, validate, report, and minimize discrepancies; define, identify, develop, and automate repeatable methods to detect and characterize features and activities of interest.

Support creation of non-literal processing and analytic methods for repeatable use to add insight to formal intelligence reporting.

Production and exploitation of change detection products. Develop and maintain documentation for knowledge sharing.

Develop and improve computer vision workflows that enhance GEOINT analysis efficiency.

Required Qualifications:

Eight years of experience and a Bachelor’s Degree in image science, remote sensing, earth science, etc. 3+ years processing and exploiting LIDAR data. Experience with ArcGIS, QTModeler, ENVI.

Active Top Secret clearance with SCI and willingness to obtain CI Polygraph.

Expertise in processing and exploiting SAR data.

Experience writing and maintaining Python scripts in ArcGIS.

Desired Qualifications:

Formal training and experience in remote sensing, earth science, etc. Knowledge of IDL, Java, C++, VB, MATLAB, R, or other programming languages.

Experience with APIs.

Advanced degree preferred.

Proficiency in Google Earth Engine, ESRI Arc Services, Tableau, Web Services Development.

Experience with ArcGIS.

Why work for QSL?

Our founders, Mel Wick and Bill Cronin, retired from distinguished careers in the Special Operations Forces (SOF) Community. They established QSL to support the nation’s response to the 9/11 terrorist attacks. QSL emphasizes a SOF culture of selfless service and teamwork, ensuring warfighters have the resources needed to accomplish their missions.

We value our employees highly and offer a competitive compensation package, including traditional paid time off, disability insurance, vision insurance, FSA, 401(k), referral bonuses, and more.

We are an Equal Opportunity Employer. We do not discriminate based on race, sex, age, disability, veteran status, religion, national origin, or other protected categories. All employment practices are conducted without regard to these factors.