OPIR Imagery Scientist

GRVTY

Charlottesville (VA)

On-site

USD 110,000 - 150,000

Full time

5 days ago
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Job summary

GRVTY in Charlottesville, VA seeks an Imagery Scientist to advance persistent infrared remote sensing. You will collaborate with experts to turn OPIR expertise into working tools, applying version control, testing, and code review to accelerate development with agentic AI.

You will design and maintain data-processing pipelines for PIR data, validate AI-generated code, draft reports for analysts and leadership, and help transition new tools into operations with documentation and feedback.

Responsibilities

  • 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

Job description

What Impact You'll Have

GRVTY is seeking an Imagery Scientist to join our Charlottesville, VA team. The candidate will work alongside community experts to advance applications within the field of persistent infrared remote sensing, bringing a background in Overhead Persistent Infrared (OPIR) and the ability to turn that expertise into working tools. We're looking for someone who understands tool development, applying version control, testing, and code review, to accelerate development using agentic AI to design, build, and validate tools, while knowing where analyst judgment must stay in the loop.

What You'll be Owning
  • 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
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