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Minimum 3 years of Digital Signal Processing (DSP) and Software Defined Radios (SDR) development experience. Providing subject matter expertise in Digital Signal Processing (DSP) and Software Defined Radios (SDR.
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A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background in a foundational field for these areas (i.e. - mathematics, physics, etc.
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Desired experience includes analog to digital signal processing, underwater acoustics analytics, Fast Attack Submarine Sonarman Experience, and Submarine Total Ship Monitoring System operation (TSMS.
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Experience with high-speed DSP-based and FPGbased signal processing using Xilinx, Intel, AMD, and / or Nvidia products. Advanced degrees such as MS or PhD in Physics, Optics, Photonics, Circuits, Signal Processing, or other related engineering field.
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Relevant coursework includes but is not limited to Digital Signal Processing, Analog to Digital Processing, Signal Analysis, Filter Design, Digital System Design, Linear Electronics, Signals & Systems, Data Structures, Non-Linear Vibrations, Power & Propulsion, Acoustics, etc.
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With this growth, REXAS is seeking a Technology Development Director (TDD) to help drive the strategy and grow the portfolio in RF Exploitation Solutions focused on development and demonstration (on test and operational platforms) of the next-generation RF signal processing algorithms, real-time processing applications (CPU, GPU and FPGA), and advanced signals analysis.
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The Leidos EW Division performs on programs that include advanced signal processing, machine learning, optimization, detection & estimation, deep learning, and adaptive decision and control.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conducting data analysis in the fields of Computer Vision, NLP, or audio signal processing; The DarkStar Group's team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML) such as Computer Vision (Image and Video Processing), Natural Language Processing (NLP), and Audio Modeling.
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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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Experience using iBwave design software, spectrum analyzer, RF scanner, CW signal generator UE data collection, and post-processing software. Experience using iBwave design software, spectrum analyzer, RF scanner, CW signal generator UE data collection, and post-processing software.
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Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering. Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering.
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Experience with digital signal processing approaches; signal processing implementation experience preferred Preferred Education, Experience, & Skills. Experience with RF (passive and active) signal processing, Adaptive signal processing / optimization, Detection, tracking and classification, Algorithm development / Data analysis, Modeling & Simulation.
$147,300 - $250,400 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apply machine learning techniques, such as regression, clustering, classification, and natural language processing, to extract insights from large and diverse datasets. Experience with machine learning frameworks and libraries (e.g., scikit-kearn, TensorFlow, PyTorch) and data visualization tools such as Tableau, Power BI, matplotlib, ggplot, Periscope, Business Objects, D3, SAS Visual Analytics or similar platforms.
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Apply your expertise in digital signal processing , a critical component in wireless technologies like LTE. Proficiency in digital signal processing (DSP) for wireless applications.
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Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems. Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems.
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signal processing jobs in Washington, DC
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