What You'll be Owning
- 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
What You Must Have
- 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:
- 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
What Would be Nice to Have
- Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems
Pay Range:
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