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GRVTY

RF signature collection for defense

Imagery Scientist – Mid or Senior - OPIR Analyst

Data AnalysisUpdated on Nov 12
Full-timeCharlottesville, VA, USA$140k - $180kIn-person

About the Job

Requirements

  • U.S. citizenship and an active Top Secret/Sensitive Compartmented Information clearance, or an active Top Secret clearance with the ability to obtain Sensitive Compartmented Information.
  • OPIR analysis experience at the mid level: a bachelor's degree and 8 or more years of relevant experience; military or agency training may substitute for a degree.
  • OPIR analysis experience at the senior level: a bachelor's degree and 12 or more years of relevant experience, including leading analysis or mentoring analysts.
  • Hands-on exploitation of OPIR or other infrared sensor data for intelligence production.
  • Working knowledge of infrared phenomenology, including sensor resolution, sensitivity, and the strengths and limitations of persistent overhead collection.
  • Proficiency with standard GEOINT and MASINT tools such as ArcGIS, ENVI, SOCET GXP, or RemoteView.
  • Strong written and briefing skills for technical and non-technical audiences.

Responsibilities

  • Partner with scientists and engineers to develop new algorithms and modernize existing algorithms, tools, and methodologies for exploitation of persistent infrared data.
  • Conduct second- and third-phase exploitation of OPIR and other EO/IR sensor data to detect, track, and characterize events in support of ground forces intelligence requirements.
  • Review OPIR processed data, sensor metadata, and collection geometry to determine data quality.
  • Fuse OPIR with EO, SAR, MSI/HSI, and multi-INT reporting into finished GEOINT and MASINT products.
  • Author and review reports, graphics, and briefings for analysts, leadership, and customers, matching technical depth to the audience.
  • Help draft and prioritize collection requirements and coordinate with collection managers and mission partners on coverage for planned events and emerging targets.
  • Support field tests and data collections.

Desired Qualifications

  • Prior support to NGIC, NASIC, NGA, MDA, or another Department of Defense or Intelligence Community production center.
  • Knowledge of TIV, PIV, and AFAST.
  • A degree in physics, engineering, remote sensing, or another STEM field.
  • Python or MATLAB for data handling, analysis, and visualization.
  • Familiarity with signature-modeling codes, radiometric calibration, or sensor performance analysis.
  • Experience with SAR, MSI/HSI, or LiDAR exploitation in addition to infrared.
  • Exposure to artificial intelligence/machine learning-enabled workflows, data labeling, or model evaluation.

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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