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Job detailsJob TypeFull-timeIndeed’s salary guideNot provided by employer$123K – $156K a year is Indeed’s estimated salary for this role in Springfield, VA.Report inaccurate salaryFull Job Description
Position: Photogrammetrist (Senior) Requires TS/SCI
Position Description:
Seeking a motivated SENIOR PHOTOGRAMMETRIST in support of NGA Integration Test & Image Quality Office (TAC) on the Acadia program. Join a skilled, highly respected and long standing team supporting product quality mission for NGA. This is a unique opportunity to enhance your career by working with the community subject matter experts, directly with the customer and with project autonomy not customarily given as a government contractor. Based on the priorities of the customer, the photogrammetrist will support 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 geometric components of the image collection path to fully assess the geolocation and mensuration accuracy of a system. Imaging systems could include electrical-optical, radar, lidar, hyperspectral and/or multispectral on board space or airborne platforms. Simulation and modeling experience and ability to develop algorithm description documentation for software development is needed. Familiarity with current GEOINT systems, products and development, as well as the exploitation software packages will be necessary to develop test and verification methodologies. The candidate will work within an existing team to complete tasks as prioritized by government customers. Good communication and team work is necessary. A history of delivering results is critical to success. The specific sub-tasks and activities to be performed include, but are not limited to:

Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain
Geolocation and mensuration accuracy assessments
Modeling geometric collection path to trace the exact location of a point on the ground to the pixel location on an image
Support engineering analysis activities, including assessment projects related to the National System for Geospatial-Intelligence (NSG)
Performing baseline assessment of system performance to support sensor initialization
Operational monitoring of system performance over time
Responding to detected errors and artifacts by recommending possible causes and corrective actions

Required Experience/Education:

Bachelor or Advanced Degree in Image Science, Engineering, or Physics
10+ years of experience working with electrical-optical, radar, lidar, hyperspectral and/or multispectral imaging platforms
Geolocation and mensuration assessment experience
Image processing and Digital Signal processing experience
Significant applied knowledge of sensor imaging systems, products, and exploitation processes
Strong understanding of the systems engineering lifecycle to include independent testing and data verification
Strong written and oral communication skills, with emphasis on briefing to obtain decisions and solve technical issues and test plans/reports writing
Ability to work independently as well as part of a team
Willingness to learn, solve problems and perform in a dynamic work environment
Track record of delivering results

Preferred Skillset:

Understanding and application of image quality standards (e.g. NIIRS), scales, metrics and image quality equations.
Knowledge of NSG tasking, collection, processing, exploitation and dissemination (TCPED) image chain, specifically the inclusion of radiometric support weather data and material properties (NEFDS).
ASPRS membership or professional certificate
Experience working in a DoD or IC operational environment
Experience developing engineering code (C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.

Location: NCE Springfield, VA
Hiring InsightsJob activityPosted 30+ days ago

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