Remote Sensing Engineer

Riverside Research Institute

$97K — $135K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance required
  • Bachelor's degree in relevant technical discipline
  • Minimum of 5 years in remote sensing or geospatial analysis
  • Experience with satellite/aerial imagery processing
  • Proficiency in remote sensing and GIS software
  • Strong Python programming skills
  • Knowledge of geospatial data formats

Responsibilities

  • Process and analyze satellite and aerial imagery
  • Develop automated geospatial analysis workflows
  • Design Python tools for imagery processing
  • Conduct image classification and spatial analysis
  • Support sensor calibration and quality assurance
  • Collaborate with engineers and data scientists
  • Prepare technical reports for various audiences
  • Evaluate and recommend improvements in remote sensing technologies

Benefits

  • Work in a remote and collaborative environment
  • Engage with multidisciplinary teams on national security projects
  • Opportunity to support cutting-edge geospatial intelligence initiatives
  • Professional development through project planning and continuous improvement
  • Exposure to emerging remote sensing technologies and methodologies
Full Job Description
Position Overview

We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.

An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.

Responsibilities
  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.
Qualifications Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.
Global Comp$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.

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