{"id":1160814,"url":"https://alion.io/job/riverside-research-remote-sensing-engineer-2","title":"Remote Sensing Engineer","company":{"id":2113336,"name":"Riverside Research","domain":"riversideresearch.org","url":"https://alion.io/company/riversideresearch","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"iCIMS","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":97000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GDAL","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-23T23:45:34Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T02:45:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Riverside Overview\nRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.Position Overview\nWe 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.\nAn active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.\nResponsibilities\nProcess, analyze, and interpret satellite, airborne, and other remotely sensed imagery.\nDevelop and maintain geospatial analysis workflows and automated processing pipelines.\nDesign and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.\nPerform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.\nSupport sensor calibration, validation, and quality assurance activities.\nWork closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.\nPrepare technical documentation, reports, and presentations for technical and non-technical audiences.\nEvaluate emerging remote sensing technologies and recommend improvements to existing workflows.\nContribute to project planning, technical discussions, and continuous process improvement initiatives.\nQualifications\nRequired Qualifications\n Active TS/SCI security clearance (required).\nBachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.\n minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.\nExperience processing and analyzing satellite, aerial, or other remotely sensed imagery.\nProficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.\nStrong Python programming skills for geospatial analysis and workflow automation.\nExperience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.\nUnderstanding of raster and vector geospatial data formats and coordinate reference systems.\nStrong analytical, problem-solving, and communication skills.\nAbility to manage multiple priorities and work independently in a remote, collaborative environment.\nPreferred Qualifications\nExperience supporting DoD, NGA, NRO, or Intelligence Community programs.\nExperience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.\nFamiliarity with cloud-based geospatial processing environments such as AWS or Azure.\nExperience with machine learning or computer vision techniques applied to geospatial imagery.\nKnowledge of containerization technologies such as Docker and modern software development practices.\nExperience with Git and collaborative software development workflows.\nGlobal Comp\n$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.Closing Statement\n Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.","description_format":"text","description_chars":4365,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Earth Observation","Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-09-23T23:45:34Z"}],"liveness":{"score":100,"band":"hot","label":"Hiring now","p_open":1,"p_active":1,"p_room":1,"age_days":0,"expected_fill_days":39,"reasons":["conf:2","wave","urgency","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":135000,"is_top_pay":false},"html_url":"https://alion.io/job/riverside-research-remote-sensing-engineer-2","json_url":"https://alion.io/job/riverside-research-remote-sensing-engineer-2.json","meta":{"generated_at":"2026-09-24T13:26:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}