OPIR Imagery Scientist

• Support 1 st through 3 rd phase exploitation of OPIR and other EO/IR 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 PIR collection planning, exploitation, and signature analysis, using sound software development practices such as version control, testing, documentation, and code review
• Use agentic AI 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 test, 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

• 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 IR 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 (e.g., Git), testing, and documentation
• Proficiency with standard GEOINT and MASINT tools such as ArcGIS, ENVI, SOCET GXP, or RemoteView

What Would be Nice to Have

• Prior support to NGIC, NASIC, NGA, MDA, or another DoD or IC production center
• Knowledge of TIV, PIV, AFAST
• Degree in physics, engineering, remote sensing, computer science, or another STEM field; graduate education 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 AI agent workflows, or evaluating AI performance on analytic tasks
• Experience deploying software in classified or air-gapped environments, including containerization, CI/CD, and configuration management
• Familiarity with detection theory, signal processing, image processing, or machine learning
• Experience with SAR, MSI/HSI, or LiDAR exploitation in addition to IR
• Experience planning or supporting collections at CONUS or OCONUS test ranges

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