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Job Summary: Raytheon, an RTX business, is looking for a Signal Processing Systems Engineer to join our systems engineering team. To succeed in this role, you must have development lifecycle experience using the Agile methodology, experience with Signal Intelligence (SIGINT) and/or RF domain experience, experience with digital communications and be familiar with Algorithm development.
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Geon Technologies is a rapidly growing small business that provides signal processing and sensor system integration services to the United States Government (USG) and the industry base that supports them.
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You will need skills that cross traditional domain boundaries in areas such as battery management, signal processing, statistics, machine learning and deep learning and graphical user interface design.
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Work with leading-edge Software Defined Radio (SDR) systems for GPS, GNSS, and other cooperative signals along with advanced signal processing techniques to define new product lines. Familiarity with military GPS modernization particularly M-code signal processing and capabilities.
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Experiencein one or more of the following: Java,JavaScript/Typescript, Kubernetes, Angular, ELK stack, Kafka, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Your responsibilities will involve applying communication theory and digital signal processing methodologies to create innovative solutions. Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or Electrical Engineering.
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Experience in one or more of the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Shape leading-edge Software Defined Radio (SDR) systems for GPS, GNSS, and other cooperative signals including advanced signal processing techniques. Experience with developing Vector Signal processing or Data processing algorithms for wireless communication technology.
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Fulfill all specified and derived requirements, including: safety timing and signal processing and signal processing. Motiv is looking for an Embedded Software Engineer III to join the engineering team as a key contributor.
$145,000 - $158,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in ELINT/COMINT Systems Engineering related to digital signal processing, waveform development, and software-defined radio architectures. - You will apply your systems engineering development experience to support the product development, integration, deployment, and sustainment of our advanced airborne Communications Intelligence (COMINT) and Electronic Intelligence (ELINT) solutions.
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Eight (8) or more years of experience in the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
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Signal Processing Algorithms – must have foundational knowledge. Four-year or Graduate Degree in Computer Science, Software Engineering, Electrical Engineering, Audio Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
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While conversant in all modern software development processes, High Rez specializes in undersea acoustics and digital signal and information processing. High Rez Consulting, Inc., (HRC), founded in 2002 is a Small Business (a team of IT professionals) that specializes in high technology software development and systems, as well as software engineering and architecture.
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The position requires a broad set of analytical and technical skills in the fields of signal processing, algorithm development, computational performance verification, and error analysis.
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