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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. 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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Work in a fast-paced environment, participating in and leading engineering teams designing the next generation C5ISR (Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance and Reconnaissance) systems for the U.S. Military.
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Familiar with ETL concepts and solutions particularly for big data engineering, including experience with Apache Spark. Help grow a trusted data foundation through ETL, data streaming, and data processing across distributed systems.
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2-5+ years of experience in information systems, system administration, data engineering or network engineering. The data infrastructure engineer will work with Government Leads, solution architects, data owners, data stewards, policy developers, process and workflow analysts, data scientists, and business analysts to design and implement a framework to increase speed to insight across the Army enterprise.
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Bachelor of Science (BS) degree in System Engineering, Electrical Engineering, Physics, Software Engineering, or a related Science or Engineering. Systems engineering experience to include independent testing and data verification, requirements, and development of concept of operations.
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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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Collaborate across software engineering, data science, data engineering, and product teams through the full SDLC. As a Software Development Engineer, you will play a key role in developing this cutting-edge Generative AI solution that leverages large language models and advanced natural language processing techniques.
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