Imagery Scientist; SAR; Expert

• Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
  • Develop pipelines and relevant data structures for emerging capabilities
• Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
• Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to:
  • Databases and schemas
  • APIs and other ETL-related processes
  • Ingestion and movement of data within the existing data operations pipeline
• Determine how to acquire new data, including:
  • Potential latency associated with acquisition
  • Data formats and security domains
• Determine how to pre-process and standardize data to match existing standards or be transformed into a usable state for labeling and model development purposes, including:
  • Converting between file format types
  • Tiling full-size images into specified sizes or geospatial bounds
• Investigate gaps in emerging sensor capabilities that may require supplementation from other sources
• Explore options for coincident imagery collects from other imagery platforms to:
  • Identify EO or other platforms with aligned geographic and temporal coverage
  • Determine platforms with similar collection window to emerging data types
• Develop and implement mathematical conversion models to:
  • Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image)
• Develop methods to execute tiling and pre-processing of full-size raw imagery into specified sizes and data formats while maintaining metadata and data integrity
• Generate tiles from full-size image collects with specified, precise geospatial boundaries, accounting for orthorectification to ensure geospatial accuracy at tile edges

• Active TS/SCI Clearance with the ability to obtain a CI/Poly
• Collection and phenomenology
• Image formation processes
• Exploitation products and methodologies
• Hands-on experience with SAR data processing tools and libraries including:
  • SARPy
  • MATLAB SAR Toolbox
• Demonstrated experience with imagery quality metrics, including:
  • RNIIRS and information theoretic-based image quality metrics
  • SAR-specific metrics such as Integrated Sidelobe Ratio (ISLR) and Multiplicative Noise Ratio (MNR)
  • Sensor metadata describing geometry impacts on phenomenology (e.g., graze, squint, azimuth)
• Experience exploiting SAR imagery to determine the occurrence and location of objects of interest
• Experience developing, testing, and evaluating:
  • New algorithms, processes, methodologies, and exploitation products
  • Automated scientific workflows using advanced processing tools including:
    • Python
    • MATLAB
    • Google Earth Engine
• Deep understanding of:
  • Remote Sensing Principles
  • Advanced imagery processing and exploitation methods
  • Sensor and platform limitations and advantages
• Proven ability to communicate technical concepts to:
  • Technical audiences
  • Non-technical stakeholders
  • Intelligence users

• Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems

At GRVTY, we understand that compensation is influenced by many factors - such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.

We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.

Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

• The pay range for this position is: $180,000 - $210,000