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OPIR Scientist / Python Developer

  • Charlottesville, Virginia

Clearance: Active TS/SCI; ability to obtain a CI Polygraph
Salary: $200K to $215K 

Position Overview

We are seeking an experienced OPIR Imagery Scientist to support advanced remote sensing and intelligence analysis efforts in Charlottesville, VA.

The ideal candidate will have hands-on experience with Overhead Persistent Infrared (OPIR) or other EO/IR sensor data, along with strong Python development skills. This role combines imagery exploitation, analytical tool development, and emerging AI technologies to enhance intelligence capabilities.

Key Responsibilities

  • Analyze and exploit OPIR and EO/IR sensor data to detect, track, and characterize events of interest.

  • Develop Python-based analytical tools, algorithms, and data-processing pipelines.

  • Evaluate sensor data quality, collection parameters, and infrared signatures.

  • Leverage AI-assisted development and automation to improve analytical workflows.

  • Support data calibration, testing, validation, and implementation of new capabilities.

  • Collaborate with engineers, analysts, and government stakeholders to address technical requirements.

  • Prepare technical reports, briefings, and analytical findings.

  • Assist with sensor collection planning and operational testing.

Required Qualifications

  • U.S. citizenship and active TS/SCI clearance, with the ability to obtain a CI Polygraph.

  • Hands-on experience exploiting OPIR or other infrared sensor data.

  • Strong understanding of infrared phenomenology and remote sensing principles.

  • Experience developing analytical tools or software using Python or a similar language.

  • Familiarity with version control, testing, and software development best practices.

  • Experience with imagery exploitation tools such as ArcGIS, ENVI, SOCET GXP, RemoteView, or similar platforms.

Preferred Qualifications

  • Experience supporting DoD or Intelligence Community missions.

  • Degree in physics, engineering, computer science, remote sensing, or a related STEM field.

  • Knowledge of radiometry, signal processing, image processing, or machine learning.

  • Experience with AI-assisted development, automation, or analytical workflows.

  • Familiarity with classified software environments, containerization, or CI/CD.

  • Experience with additional remote sensing technologies, including SAR, MSI/HSI, or LiDAR.

  • Background in sensor testing, collection planning, or temporal data analysis.