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Lead, Space Situational Awareness (SSA) Image Science Engineer

Company: L3Harris Technologies
Location: Burke
Posted on: August 30, 2020

Job Description:

Description: Lead, Space Situational Awareness (SSA) Image Science Engineer Job Code: SAS20201507-47887 Job Location: Springfield, VA Job 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 customer Assess 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 tools Authors technical documents and deliver presentations Untilize 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 efforts Qualifications: Active DoD TS or TS/SCI security clearance Bachelor---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 techniques Experience with star field analysis, photometry, radiometry, sensor calibration Familiarity with physics-based modeling and data simulation Experience with orbit propagation models / tools, orbit determination, catalog correlation, and raw observation processing Preferred Additional Skills: Five or more years of experience working directly with customer remote sensing data and processing techniques Exposure 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 filtering Exposure to astrodynamics and orbital mechanics tools such as STK, NASA GMAT, Orekit, TASAT, ODTK, Free Flyer, SGP4 and other propagator code libraries Experience with orbit analysis and prediction, transfer orbits, plane changes, and orbit maneuvers Experience 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 exploitation Knowledge of ground processing architectures and image processing algorithms for remote sensing systems, and transitioning R&D algorithms and processes into operations Expertise conducting engineering analyses to resolve system deficiencies and optimize performance in coordination with partners and end-users Machine 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, Burke , Lead, Space Situational Awareness (SSA) Image Science Engineer, Other , Burke, Virginia

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