Apply to 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.