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Integrate and leverage open-source tools to efficiently orchestrate complex digital signal processing algorithms, comprehensively visualize processing results and system configuration, and or aggregate processing results for further innovative analysis and data discovery.
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Technical knowledge of Linux computing environments, communication system theory, and radar theory - including modulation/demodulation, RF fundamentals, signal processing algorithm development, X-MIDAS programming, and digital-to-analog conversion systems is strongly desired.
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Digital Signal Processing (DSP) background with a strong understanding of communication systems and/or radar system design and theory with implementation of concepts into software. Description :Parsons is seeking motivated individuals dedicated to solving a full spectrum of signal processing challenges in Herndon, VA for SIGINT, EW, Radar, and Communications Systems.
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In this position, you will apply your technical expertise towards furthering the public good by developing, applying, and evaluating state-of-the art navigation and communication technologies, such as: State of the art signal processing algorithms for navigation and communication systems (radio navigation, wireless communications, vision navigation, etc.
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Experience with signal processing in MATLAB, Python, or C / C. sof tware packages that can process RF digital signal processing algorithms. That's why we need you, an electrical engineer with a background in signal processing, embedded processing, RF theory, or.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Background in data science, data analytics, machine learning, statistics and/or signal processing. Solid foundation in algorithm prototyping, data science and experience with common programming languages (Python, C#, Rust, C+ etc.
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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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Knowledge of DDS, Kubernetes, physics, matrix math, signal processing desired. Develop algorithms and processing codes in MATLAB and Python under Windows and Linux environments.
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Programming in MATLAB and Python, Windows and Linux environments, as well as software development. and Python language experience. SUMMARY : WR has a potential opportunity for a Software Engineer to support Envisioneering, Relocatable Over-The-Horizon Radar (ROTHR) and other programs in Government and Business Solutions (GBS.
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Processing Tools: Elasticsearch, YARN, Spark, Nifi and/or Docker. Processing Tools: Presto/Trino, MapReduce, Hive. Programming Languages: Java, Scala or Python, Bash. Processing Tools: Elasticsearch, YARN, Spark, Nifi and/or Docker.
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Knowledge of signal processing concepts for communications, detection & estimation theory. Developing and implementing signal processing algorithms for comms systems. Familiarity with modeling and simulation tools like MATLAB and experience with Python.
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Familiarity with one or more of the following: aerodynamic systems, orbital mechanics, signal processing, sensor systems, and RF or EO/IR physics. Java, Python, MATLAB, Mathematica, or Fortran.
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Knowledge of multi-threaded signal processing algorithms in Python/C. Software Python Developer Location: Fairfax, VA (relocation assistance is available) Minimum Clearance Required to Start: Active Top Secret More about your role: At NASK, we're growing, building great teams, and doing exciting work.
$10,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Will work closely with Digital Signal Processing (DSP) engineers and other domain experts to both develop new tools and improve existing ones. Responsibilities will include: rapid prototyping, developing, modifying and improving a suite of signal processing tools; implementation of real-time signal processing algorithms on Linux-based SDR platforms; supporting customer needs and requirements; and analyzing and troubleshooting system performance.
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Any knowledge of signal processing techniques and algorithms; a strong math background - particularly knowledge of Fourier transforms or linear algebra; knowledge of geolocation techniques; or general familiarity with RF physics will make for the most successful candidate.
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