Applied Research and Development GEOINT Engineer

Matrix Research•Beavercreek, OH

10d•Hybrid

About The Position

We are currently seeking an Applied Research & Development GEOINT Engineer for our growing business in Geospatial Intelligence in Dayton, OH. You can help us fulfill our mission by executing advanced research & development involving processing, modeling, and analyzing active and passive data for geospatial intelligence. You will contribute by using your experience to demonstrate strong mathematical and/or computer science skills to assist our team in engaging in advanced geospatial intelligence.

Requirements

Experience in one or more of the following technical areas: Prototyping and Development, Research and Development, Algorithm implementation, training, and optimization.
Proficiency in programming languages and the ability to interface tools with web applications.
Experience with Python.
A STEM degree (in engineering, physics, mathematics, computer science, or related) with five years of experience, or another combination of education and experience.
US citizenship.
Ability to obtain and maintain a US DoD security clearance.

Nice To Haves

Current Security clearance.
Ability to work on site full time.
Skills in integrating active and passive data from new sources onto KML files and signature library files.
Experience with project planning and reporting.
Willingness to learn other languages as needed (C, C++, Julia, MATLAB).

Responsibilities

Executing advanced research & development involving processing, modeling, and analyzing active and passive data for geospatial intelligence.
Prototyping and developing tools and software, including custom algorithms, to optimize analysis on GEOINT data sets.
Conducting research on emerging technologies and software packages, including COTS and GOTS, to expand analytical expertise.
Algorithm implementation, training, and optimization.
Research and development using Python.
Programming in various languages and interfacing tools with web applications.
All stages of software lifecycle development.
Integrating active and passive data from new sources onto KML files and signature library files.
Project planning and reporting.