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GRVTY

RF signature collection for defense

OPIR Imagery Scientist

Data AnalysisConfirmed live in the last 24 hours
Full-timeCharlottesville, VA, USA$180k - $210kIn-person

About the Job

Requirements

  • U.S. citizenship and an active TS/SCI clearance, with the ability to obtain a CI polygraph.
  • 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 limits of persistent overhead collection.
  • Demonstrated experience developing analytic tools or data-processing software in Python or a similar language, including version control, testing, and documentation.
  • Proficiency with standard GEOINT and MASINT tools such as ArcGIS, ENVI, SOCET GXP, or RemoteView.

Responsibilities

  • Support first- through third-phase exploitation of OPIR and other electro-optical/infrared sensor data to detect, track, and characterize events, separating real signatures from background clutter and false alarms.
  • Review OPIR processed data, sensor metadata, and collection geometry to determine data quality.
  • Design, build, and maintain algorithms, analytic tools, and data-processing pipelines for persistent infrared collection planning, exploitation, and signature analysis, using sound software development practices such as version control, testing, documentation, and code review.
  • Use agentic artificial intelligence tools and workflows to accelerate tool development, automate repetitive exploitation and data-conditioning tasks, and prototype new analytic methods, verifying and validating AI-generated code and outputs before they reach operational use.
  • Develop repeatable workflows for data conditioning, calibration, quality control, and uncertainty characterization.
  • Compare laboratory or modeled signatures with overhead observations, accounting for sensor response, geometry, atmospheric effects, and background conditions.
  • Support the transition of new tools and methods into operational use, including testing, verification and validation, documentation, and user feedback.
  • 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 support field tests, test-range activities, and data collections.
  • Work directly with government customers, collectors, engineers, and analysts to understand tool requirements.

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, computer science, or another STEM field; graduate education is a plus.
  • Background in radiometry, including radiometric calibration, detector response, signal-to-noise characterization, and uncertainty propagation.
  • Experience with temporal analysis, including time-series conditioning, event segmentation, and transient characterization.
  • Experience designing multi-step or tool-using artificial intelligence agent workflows, or evaluating AI performance on analytic tasks.
  • Experience deploying software in classified or air-gapped environments, including containerization, continuous integration/continuous delivery, and configuration management.
  • Familiarity with detection theory, signal processing, image processing, or machine learning.
  • Experience with synthetic aperture radar, multispectral/hyperspectral imagery, or LiDAR exploitation in addition to infrared.
  • Experience planning or supporting collections at CONUS or OCONUS test ranges.

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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