REMOTE SENSING ALGORITHM ENGINEER (TS/SCI)

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 )