Senior SAR Imagery Scientist

GeoYeti•Springfield, VA

4d•$190,000 - $235,000•Hybrid

About The Position

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 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.

Requirements

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

Nice To Haves

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

Responsibilities

Serve as the technical lead on SAR data quality, sensor integration, and imagery processing.
Build automated pipelines, assess new sensors, and develop algorithms that support analysis at scale.
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.