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B.S. in Software Engineering, Computer Science, Graphics or Game Design, or applicable engineering or science field. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Candidates must be able to architect and design systems for sensor and image processing platforms, assigning subtasks to junior firmware (FPGA or embedded software) engineers. Position Overview QinetiQ US is seeking an experienced FPGA/Firmware Engineer to support engineering teams designing the next generation C5ISR (Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance) systems for the U.S. Military at our Lorton, VA facility.
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Utilize CADD/BIM systems including AutoCAD, and specifically Revit 3D modeling, and other software databases such as word processing, spreadsheets, and PowerPoint to provide support engineers.
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The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools.
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Computer Programming (e.g., scripting, data parsing/ETL, artificial intelligence, machine learning, natural language processing, software versioning, distributed computing). + Bachelor's degree in Mathematics, Physical Science, Software Engineering, Computer Science, or a related field with 4-6 years of relevant experience, Master's degree with 2-4 years of experience, or PhD with 0-2 years of experience.
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Experience working with big data (engineering / processing) and data migration. Required coursework: algorithms, data structures, software engineering, and operating systems.
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Knowledge of, and ability to use, various word-processing and desktop publishing software applications such as Microsoft Office. All the personnel on the team will work together to support innovative design, engineering, procurement, implementation, operations, sustainment and disposal of user facing and data center information technology (IT) services on multiple networks and security domains, at multiple locations worldwide, to support the IC mission.
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Bachelor of Science (BS) degree in System Engineering, Electrical Engineering, Physics, Software Engineering, or a related Science or Engineering. Knowledge of NSG tasking, collection, processing, exploitation and dissemination (TCPED) image chain.
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Support the project management process by performing engineering tasks such as processing shop drawings, handling the work flow of RFI’s, document control, change management, outsourcing, estimating, scheduling and other related activities.
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The Lead IS will design, develop, evaluate and verify the implementation of complex image processing software products, algorithms, and workflows. The Lead Image Scientist (IS) will serve as a technical specialist for research, evaluation and verification of highly complex image and video processing systems for geospatial intelligence sensors, systems, and applications.
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Engineering knowledge and experience in real-time software development, missile/flight simulation and software models, interface programming (Ethernet, serial, parallel input/output, specialized interface cards), user interface programming, and data processing and evaluation programming.
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QinetiQ US is seeking an experienced Graphics Software Developer to support the development of 3D modeling and game development in Unreal Engine or Unity software. This position will involve d esigning, developing, and testing of applications using 3D modeling simulation software for electro-optics/IR sensors and other Army applications.
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Demonstrated experience in integration and tailoring of Commercial Off- The-Shelf (COTS) software applications; specialized software and database development and maintenance; integration of related specialized hardware; engineering studies to identify and remedy processing bottlenecks.
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Prefer an accredited Computer Science, Cyber Security, Information Technology, Software Engineering, Information Systems, or Computer Engineering degree, or a degree in a Mathematics or Engineering field.
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