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Riverside Research
Riverside Research
501 – 1,000 Employees
Artificial IntelligenceCybersecurityDefense
Riverside Research is an independent nonprofit working at the intersection of scientific research, advanced technology, and national security. Its teams develop and apply artificial intelligence and machine learning, secure systems, and advanced radar technologies to support U.S. government missions, with particular focus on intelligence, surveillance, and reconnaissance. The organization’s hiring environment spans technical and research-oriented work, alongside a broader commitment to collaborative innovation, community engagement, and STEM outreach.
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Remote Sensing Engineer - Onsite

Process satellite and airborne imagery while developing Python-based geospatial workflows for Riverside Research’s defense and national security missions.

USUnited StatesOHOhioVAVirginia
$97,000 – $135,000 / year
On-siteFull-timeSeniorLeadEnglish RequiredEngineer
AWSAzureCloudDockerPythonRemote SensingTypeScript

Description

  • Process and interpret satellite, airborne, and other remotely sensed imagery
  • Build and maintain geospatial analysis workflows and automated processing pipelines
  • Create Python tools for imagery processing, feature extraction, and geospatial analysis
  • Apply image classification, object detection, change detection, and spatial analysis techniques
  • Support sensor calibration, validation, and quality assurance activities
  • Work with engineers, data scientists, and intelligence analysts to deliver mission-focused solutions
  • Produce technical documentation, reports, and presentations for varied audiences
  • Assess emerging remote sensing technologies and propose workflow enhancements
  • Participate in project planning, technical discussions, and continuous process improvement

Requirements

  • U.S. citizenship is required for all Riverside Research opportunities
  • An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required
  • A bachelor’s degree or eight years of experience in remote sensing, geospatial science, geography, GIS, computer science, engineering, physics, environmental science, or a related technical field is preferred
  • Relevant experience may substitute for the degree requirement
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery
  • Proficiency with remote sensing and GIS platforms such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or equivalent tools
  • Strong Python skills for geospatial analysis and workflow automation
  • Experience using geospatial libraries including GDAL, Rasterio, GeoPandas, Shapely, or OpenCV
  • Ability to manage competing priorities and work independently in a remote, collaborative environment
  • Experience in one or more of RF; elevation or terrain; non-Earth imaging (NEI); SAR; infrared (SWIR, MWIR, or thermal); hyperspectral (HSI); LiDAR and 3D; airborne UAS; non-imagery sources such as AIS, Adtec, ADS-B, and open-source data; photogrammetry; or full-motion video (FMV)
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs is preferred
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery is preferred
  • Familiarity with AWS or Azure cloud-based geospatial processing environments is preferred
  • Experience applying machine learning or computer vision to geospatial imagery is preferred
  • Knowledge of Docker and modern software development practices is preferred
  • Experience with Git and collaborative software development workflows is preferred
  • Experience with Motion Target Indicator (MTI), EO, object detection, change detection, maritime domain analysis, or Global Comp is preferred

Benefits

  • Comprehensive compensation and benefits packages
  • Affirmative action and equal opportunity employer

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