OPIR Scientist / Python Developer

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.