Senior SAR Imagery Scientist

GeoYeti

$190K — $235K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI eligibility with ability to get CI polygraph
  • 4+ years of hands-on experience with SAR technologies
  • Proficiency in SARPy or MATLAB SAR toolbox
  • Knowledge of SAR image quality assessment and sensor metadata
  • Understanding of SAR phenomenology and geometry effects
  • Experience in object detection using SAR imagery
  • Skills in developing automated geospatial workflows
  • Strong communicator with both technical and non-technical audiences

Responsibilities

  • Lead technical assessment of SAR data quality and sensor integration
  • Integrate new SAR sensors into existing workflows
  • Standardize and tile imagery while maintaining data integrity
  • Develop models to convert imagery across formats and coordinate systems
  • Analyze image quality and guide imagery acquisition priorities
  • Automate management of large imagery datasets using APIs
  • Support annotation workflows for detecting objects of interest
  • Develop and test algorithms using Python, MATLAB, or similar tools
  • Oversee imagery delivery operations and communicate findings

Benefits

  • Health, Dental, and Vision insurance
  • 401(k) plan
  • Paid Time Off
  • Short and Long Term Disability and Life Insurance
  • Voluntary Life Insurance
  • Stipends and Referral Bonuses
Full Job Description
Overview

Senior SAR Imagery Scientist

Springfield, VA

Active TS/SCI eligibility with eligibility to obtain CI poly

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior SAR Imagery Analyst in Springfield, VA or St. Louis, MO.

Responsibilities

You will serve as the technical lead on SAR data quality, sensor integration, and imagery processing. You will building automated pipelines, assessing new sensors, and developing algorithms that support analysis at scale. This role blends remote sensing science with applied data engineering and AI.

What You'll Do:

  • Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors still in early development phases
  • Assess differences between new and existing sensors including data formats, metadata structures, and processing requirements and determine changes needed for downstream use
  • Pre-process, standardize, and tile imagery to specified formats and dimensions while preserving data integrity
  • Develop conversion models to transform data across imagery formats and coordinate systems, ensuring geospatial accuracy
  • Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities
  • Build automated methods to manage and curate large imagery datasets, including integrating with external data sources via APIs
  • Support annotation workflows by identifying and flagging imagery containing objects of interest
  • Source complementary imagery from other sensors to support multi-modal analysis
  • Develop, test, and evaluate new algorithms and processing workflows using Python, MATLAB, or similar tools
  • Manage routine and ad-hoc imagery delivery operations
  • Communicate technical findings and capabilities to both technical and non-technical audiences
Qualifications

Required Qualifications:

  • Active TS/SCI eligibility with eligibility to obtain CI poly
  • 4+ years of hands-on SAR expertise, including collection, phenomenology, image formation, and exploitation
  • Experience with SARPy and/or MATLAB SAR toolbox
  • Familiarity with SAR image quality assessment methods and sensor metadata
  • Understanding of how geometry affects SAR phenomenology (e.g., graze angle, squint, azimuth)
  • Experience exploiting SAR imagery for object detection and characterization
  • Experience developing and automating geospatial or imagery processing workflows
  • Strong foundation in remote sensing principles and geospatial data processing
  • Clear communicator across technical and non-technical audiences

Desired Qualifications:

  • Experience applying machine learning or computer vision techniques to SAR or other remotely sensed data
  • Experience working with multi-sensor or multi-modal imagery (e.g., SAR and EO)
  • Familiarity with cloud-based geospatial processing platforms
What you can expect from us
  • The expected salary range within the Washington, DC metropolitan area is: $190,000-$235,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

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