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GRVTY

RF signature collection for defense

Imagery Scientist - SAR, Expert

Computer VisionConfirmed live in the last 24 hours
Full-timeFalls Church, VA, USA$180k - $210kIn-person

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information clearance and ability to obtain a Counterintelligence Polygraph.
  • Understanding of collection and phenomenology, image formation processes, and exploitation products and methodologies.
  • Hands-on experience with Synthetic Aperture Radar data processing tools and libraries, including SARPy and MATLAB SAR Toolbox.
  • Experience with imagery quality metrics, including RNIIRS and information-theoretic image quality metrics, SAR-specific metrics such as Integrated Sidelobe Ratio and Multiplicative Noise Ratio, and sensor metadata describing geometry impacts on phenomenology, such as graze, squint, and azimuth.
  • Experience exploiting Synthetic Aperture Radar imagery to determine the occurrence and location of objects of interest.
  • Experience developing, testing, and evaluating algorithms, processes, methodologies, and exploitation products.
  • Experience developing, testing, and evaluating automated scientific workflows using advanced processing tools, including Python, MATLAB, and Google Earth Engine.
  • Deep understanding of remote sensing principles, advanced imagery processing and exploitation methods, and sensor and platform limitations and advantages.
  • Ability to communicate technical concepts to technical audiences, non-technical stakeholders, and intelligence users.

Responsibilities

  • Serve as the subject matter expert on Synthetic Aperture Radar imagery and provide technical direction across the imagery acquisition and preparation lifecycle.
  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including developing pipelines and relevant data structures for emerging capabilities.
  • Assess differences between new sensor characteristics and capabilities and those of currently utilized platforms.
  • Assess potential changes to metadata, data formats, and data structures, including effects on databases and schemas, application programming interfaces and other extract-transform-load processes, and data ingestion and movement within the existing data operations pipeline.
  • Determine how to acquire new data, including potential acquisition latency, data formats, and security domains.
  • Determine how to preprocess and standardize data to match existing standards or transform it into a usable state for labeling and model development, including converting between file formats and 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 collections from other imagery platforms by identifying electro-optical or other platforms with aligned geographic and temporal coverage and determining platforms with similar collection windows to emerging data types.
  • Develop and implement mathematical conversion models to transform data labels across multiple imagery types, such as phase history data to complex images and magnitude-detected images.
  • Develop methods to tile and preprocess full-size raw imagery into specified sizes and data formats while maintaining metadata and data integrity.
  • Generate tiles from full-size image collections with precise geospatial boundaries, accounting for orthorectification to ensure geospatial accuracy at tile edges.

Desired Qualifications

  • Experience applying computer vision and machine-learning techniques to Synthetic Aperture Radar imagery and data to address intelligence problems.

About the Company

GRVTY

RF signature collection for defense

GRVTY develops tools for national security by collecting real-time RF signatures and delivering situational awareness for defense operations. Its flagship product, SPEAR (Special Purpose Environmental Activity Recorder), is a compact, cost‑effective device that can be quickly deployed to gather radio-frequency signals in both land and maritime environments. The data from SPEAR feeds into comprehensive data platforms that turn raw RF signals into actionable insights for asset management and command decisions. Compared with other defense vendors, GRVTY emphasizes rapid field deployment, portability, and a tight integration between hardware for RF data collection and software platforms for analysis, enabling users to maintain a strategic edge in volatile, globally influenced threats. The company aims to help defense clients monitor, understand, and respond to evolving risks by providing reliable RF intelligence and platforms that support real-time decision making.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
McLean, VA
Founded
2024

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