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Understanding of RADAR, LIDAR, OPIR, electro-optical (EO) imagery and exploitation of open source and all source intelligence. Expertise in system integration specifically in the GEOINT domain i.e. image processing, photogrammetry, GIS, etc.
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GEOINT Electro-Optical/Infra-Red Processing System Engineer - TS/SCI. Knowledge of cloud-computing, cloud-hosting technologies and business-case performance analysis including DevOPS, DevSecOps, etc.
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As a DevOps Pipeline Engineer , you will play a critical role in the implementation and testing of our advanced algorithms supporting spacecraft autonomy and space object detection, tracking, and classification from optical payloads.
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Experience with modeling and simulation of optical systems using industry standard tools such as MATLAB, MATHCAD, ZEMAX or equivalent software tools. MS or PhD. in Electrical Engineering, Physics, or other related engineering specialties with a minimum of 7 years direct hands-on designing, building, and characterizing optical systems.
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Familiarity with industry-standard engineering tools in one or more disciplines: requirements tracking and verification, model-based systems engineering, circuit design and simulation, thermal and structural analysis, optical design and tolerance analysis, and/or others.
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Candidates should have a functional understanding of a subset of the following technical skills: AI/ML Computer Vision, power systems, structural engineering, wireless networking, sensing technologies such as electro-optical, thermal, fiber optics, radio frequency, LIDAR, and computing systems, large scale systems design, data engineering, information and cyber security, and C2 systems.
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Advanced networking qualifications including MPLS, BGP, OSPF, LAMBDA. LAN/MAN/WAN/Optical specialization. Preferred network certifications Cisco CCNA, CCNP, CCIE, Juniper JNCIA, JNCIS, or JNCIE, ITIL Foundations, and/or CISSP.
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Field experience working with fiber splicing, installing optical network elements, installing optical circuits. Experience with optical equipment, SONET and wavelength division multiplexing.
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Oversee and guide integrated space vehicle systems, including integration of mission payloads (Link 16, Ka Band communications, DVB-S2, optical communications, onboard data processors) with satellite busses.
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Strong understanding of machine learning techniques, NLP algorithms and Optical Character Recognition (OCR) Understanding of natural language processing (NLP), computer vision, and other AI/ML subfields.
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Hands-on experience designing, assembling, and testing optical systems, specifically systems used in neuroscience research. We are currently searching for an MCN NeuroEngineer with a background in developing optical tools for neuroscience research.
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SAIC is seeking a mid-level/senior Optical Engineer with NRO experience to provide Systems Engineering and Technical Advisory (SETA) services to a rapidly expanding Government Intelligence Community (IC) customer for a complex space and ground efforts as part of an exciting and innovative set of programs.
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Analysis and production includes, but not limited to, complex foreign electronic systems, subsystems, facilities and/ or equipment and can emphasize one or more area(s) pertaining to electric power, microelectronics, electronic hardware, circuits, sensors, guidance and control, signals, electromagnetic, electro-optical (EO) / infrared (IR) and / or similar areas associated with current and projected electronic systems and/ or subsystems.
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Working knowledge of internet networking technologies (TCP/UDP, DHCP, DNS, routing, switching concepts), optical transport technologies (DWDM and Optical transceivers), and network diversity/redundancy concepts.
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For over 170 years, Leica Microsystems has helped shape the future by developing groundbreaking optical and digital solutions. We currently offer the following fully remote position based in Maryland, Virginia or Washington, D.C. covering the Mid-Atlantic region.
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optical job in Reston, VA
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