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Lead, Space Situational Awareness (SSA) Image Science Engineer

Company: L3Harris Technologies
Location: Vienna
Posted on: September 16, 2020

Job Description:

Description: Lead, Space Situational Awareness (SSA) Image Science EngineerJob Code:--SAS20201507-47887Job Location: Springfield, VAJob Description:The Lead SSA Image Science Engineer will provide Subject Matter Expertise in the areas of Space Domain Awareness (SDA), image processing, object detection and characterization, and orbital analysis. The engineer will have the opportunity to develop new SSA algorithms and participate in Research and Development projects. The ideal candidate will feel comfortable working across R&D and operational lab environments, with multidisciplinary teams in a mixed-contractor environment, and direct government customer interfacing. Image Scientists are responsible for providing image expertise in support of developing analytical processes and tools as well as assessing image quality impacts associated with collection and processing for dissemination, archival, exploitation and display of digital imagery collected from remote sensing systems.Essential Functions:On-Site SSA engineer providing support to a multidisciplinary team and customerAssess utility of SSA data processing routines and advanced algorithms operating on today's baseline and emerging remote sensing systems.Investigates, analyzes and provides solutions to complex problems encountered by engineering services and quality control using standard engineering practices.Provide guidance in the areas of image science & processing, astrodynamics, orbital analysis, and toolsAuthors technical documents and deliver presentationsUntilize prototype software routines (in at least one language like Python, C, C++, ENVI/IDL, or MATLAB)Design and lead studies / analysis and support tool improvement effortsQualifications:Active DoD TS or TS/SCI security clearanceBachelor's Degree and minimum 9 years of prior relevant experience, or a Graduate Degree and a minimum of 7 years of prior related experience.-- The degree must be in Imaging Science, Physics, Mathematics, Computer Science, Engineering or equivalent.Experience of optical systems, image processing chains, image data formats and associated metadata, processing artifacts, and corrective techniquesExperience with star field analysis, photometry, radiometry, sensor calibrationFamiliarity with physics-based modeling and data simulationExperience with orbit propagation models / tools, orbit determination, catalog correlation, and raw observation processingPreferred Additional Skills:Five or more years of experience working directly with customer remote sensing data and processing techniquesExposure to analysis, exploitation, advanced processing of a wide variety of discipline areas such as Electro-Optical (EO), Synthetic Aperture Radar (SAR), Overhead Persistent Infra-Red (OPIR), Ground Moving Target Indicator (GMTI), Artificial Intelligence/Machine Learning (AI/ML), Space and Airborne ISR, etc.Experience with object tracking techniques like Kalman filtering, multi-hypothesis, and particle filteringExposure to astrodynamics and orbital mechanics tools such as STK, NASA GMAT, Orekit, TASAT, ODTK, Free Flyer, SGP4 and other propagator code librariesExperience with orbit analysis and prediction, transfer orbits, plane changes, and orbit maneuversExperience with orbit determination, conjunction assessment, and trajectory analysis (i.e. working with two-line element sets)Remote Sensing experience, including image formation, pixel processing, point spread function (PSF) analysis, optical MTF, point source photometry, radiometry, sensor calibration, etc.Vast experience with image data processing throughout entire lifecycle from data acquisition through exploitationKnowledge of ground processing architectures and image processing algorithms for remote sensing systems, and transitioning R&D algorithms and processes into operationsExpertise conducting engineering analyses to resolve system deficiencies and optimize performance in coordination with partners and end-usersMachine learning experience, including Convolutional Neural Networks, Recurrent Neural Networks, Parameter optimization, etc.Demonstrated experience with direct customer engagement and team-focused project execution

Keywords: L3Harris Technologies, Washington DC , Lead, Space Situational Awareness (SSA) Image Science Engineer, Engineering , Vienna, DC

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