REMOTE SENSING ALGORITHM ENGINEER (TS/SCI)

NorthHill Technology
Springfield, VA
NorthHill Technology Resources has a need for a Remote Sensing Algorithm Engineer to support a Federal Program in Springfield, VA. This is a direct-hire role with our client, a highly respected, fast-growing Federal Integrator. Due to the nature of the work, US Citizenship and an active TS/SCI Clearance is required.

We are seeking an experienced Remote Sensing Algorithm Engineer who specializes in multiple modalities, sensor technologies and spectral phenomenology such as EO/IR, MSI, and HSI to support a large R&D program that is focused on providing advanced intelligence analysis for the benefit of the DoD and IC communities. Please note that we are not looking for an imagery analyst . The right candidate will have software engineering/software development skills coupled with an in depth background and understanding of sensor capabilities and expertise in processing collected data to derive meaningful insights.

Key Responsibilities:
As part of a research and development team, you will...
  • collaborate with analysts and engineers to create innovative solutions that improve data exploitation capabilities.
  • design and implement algorithms that enhance target detection, material identification, and geospatial analysis
  • focus on integrating and optimizing software tools for end-users in the GEOINT and IMINT analytic community
  • produce technical documentation
Required Skills:
  • Ability to develop, test, and validate remote sensing algorithms for geospatial applications.
  • Strong programming skills in Python, ENVI/IDL, C++ and Matlab
  • Background in remote sensing techniques, especially with hyperspectral image processing techniques and data calibration .
    • Demonstrated experience developing tools for hyperspectral data analysis
  • Effective collaboration skills to work with interdisciplinary teams across the DoD and IC
Desired Bonus Skills:
  • Advanced mathematical expertise in areas such as machine learning for spectral data .
  • Background in physics-based modeling and signal processing for remote sensing applications.
  • Familiarity with hyperspectral image calibration and preprocessing techniques .
  • Hands-on experience with portable or handheld field instrumentation devices such as FTIRs, Hyperspectral imaging cameras, spectroradiometers, or spectrometers (e.g. ASD, SVC, D&P, Exoscan, Bayspec – OCI Series, Spectral Evolution – PSR Series, Headwall Photonics – Nano-Hyperspec, Micro-Hyperspec )
Posted 2025-08-29

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