Image Scientist (Entry-level)

PeratonSpringfield, VA
$80,000 - $128,000

About The Position

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Requirements

  • US Citizenship with the ability to obtain and maintain a TS/SCI security clearance and polygraph prior to starting.
  • BS/BA degree in Physics, Electrical Engineering (or other engineering), Optics/Optical Engineering, Computer Science, Data Science, Mathematics or related STEM degree and 0-2 years of experience.

Responsibilities

  • Product evaluations, quality studies, new product initializations, product algorithm assessments, or develop image quality equations to quantify the expected quality of a system given various parameters.
  • Candidate should have a working understanding and practical application of modeling components of the image path to include sensor, detector, atmospheric, and material properties.
  • Simulation and modeling experience and ability to develop algorithm description documentation for software development is needed.
  • Familiarity with current Geospatial-Intelligence (GEOINT) systems, products and development, as well as exploitation software packages will be necessary to develop test and verification methodologies. GEOINT is a combination of Image intelligence (IMINT) and geolocation information.
  • Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain
  • Algorithm assessment to quantify the performance of a product with respect to desired mission applications
  • Performing baseline assessment of system performance to support sensor initialization
  • Operational monitoring of system performance over time
  • Analysis of reported errors and artifacts and recommendation of possible causes and suggested corrective actions
  • Generation of Image Quality Equations (IQEs)
  • Relating the National Image Interpretability Ratings Scale (NIIRS) to physical characteristics of the image change
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