Remote Image Processing Engineer Jobs in Virginia

Leidos is actively interviewing for an Expert Hyperspectral Image Scientist to join our team in Springfield, VA.

Position Summary

This expert technical position responsible for leading the analysis, exploitation, and interpretation of hyperspectral and multispectral imagery in support of government missions. The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data processing, algorithm development, image exploitation, and applied remote sensing science. This position requires on-site support at a government facility and close collaboration with analysts, engineers, program managers, and mission stakeholders.

Key Responsibilities

• Lead the development, evaluation, and application of hyperspectral image analysis methodologies.
• Perform exploitation of hyperspectral, multispectral, and related geospatial datasets to identify, classify, and characterize materials, objects, and activities of interest.
• Develop, refine, and validate spectral-based algorithms for detection, unmixing, anomaly detection, change detection, target identification, and material classification.
• Conduct preprocessing and calibration workflows, including radiometric correction, atmospheric correction, and geometric correction.
• Build and maintain spectral libraries and support signature analysis, endmember extraction, and spectral matching.
• Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources.
• Prepare technical reports, briefings, white papers, and documentation for government stakeholders.
• Advise leadership and mission teams on capabilities, limitations, and best practices related to hyperspectral sensing and exploitation.

Technical Skills Required

• Hyperspectral and multispectral image exploitation
• Spectral signature analysis and spectral library development
• Material identification and classification
• Sub-pixel analysis and spectral unmixing
• Anomaly detection and change detection
• Radiometric, atmospheric, and geometric correction
• Algorithm development and validation
• Python, MATLAB, ENVI/IDL, GIS, and scientific scripting

Data visualization and technical reportingBasic Qualifications

• Typically requires a BS degree and 12- 15 years of prior relevant experience or Masters with 10 - 13years of prior relevant experience. (Must be able to obtain minimum of 18 combined experience points as defined by customer requirements)
• Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field.
• Minimum of 12-15 years of relevant professional experience in hyperspectral image analysis, spectral science, remote sensing, or related technical disciplines.
• Demonstrated experience with hyperspectral and multispectral imagery exploitation in government, defense, intelligence, or applied research environments.
• Strong knowledge of spectral phenomenology, imaging spectroscopy, and remote sensing principles.
• Experience with image processing and scientific analysis tools such as MATLAB, Python, ENVI/IDL, ArcGIS, or equivalent platforms.
• Experience developing and implementing algorithms for spectral detection, classification, target recognition, or anomaly detection.
• Strong written and verbal communication skills, including the ability to present technical findings to both technical and non-technical audiences.
• Active TS/SCI with willingness to obtain CI Polygraph

Preferred Qualifications

• Master's degree or Ph.D. in a relevant scientific or engineering discipline.
• Experience supporting DoD, IC, NGA, NGA-related, or other federal mission environments.
• Familiarity with sensor calibration, atmospheric modeling, physics-based exploitation, and sensor phenomenology.
• Experience with machine learning or artificial intelligence methods applied to hyperspectral data.
• Experience working with large-scale datasets, cloud-based analytics, or high-performance computing environments.
• Knowledge of geospatial data standards, data fusion, and operational tasking workflows.

• Radiometric, atmospheric, and geometric correction
• Algorithm development and validation
• Python, MATLAB, ENVI/IDL, GIS, and scientific scripting
• Data visualization and technical reporting

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.