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

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

• 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.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.