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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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Experience using DevSecOps methods (Continuous Integration, Continuous Delivery) and tools (Gitlab, Conan, Jenkins, Docker). With potential travel to partner organizations or trainer sites across strategic locations like Pearl Harbor, San Diego, Norfolk, and more, this role offers a dynamic blend of challenges and experiences.
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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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Responsibilities An Intelligence Specialist C works in the field and domestically to advise on activities with intent to spot, assess, develop, recruit, and handle non-U.S. citizens with access to foreign intelligence vital to U.S. foreign policy and national security decision-makers.
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Previous experience in federal management consulting, homeland security, border security, immigration policy, government policy, legislative affairs, or a related field. QinetiQ U.S. seeks a Management Analyst responsible for tracking, analyzing, developing, and reviewing official agency briefings, policy memos, and correspondence on behalf of a federal law enforcement organization within the Department of Homeland Security.
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Strong skills in not only deep learning and modern AI but also traditional machine learning, signal processing, image processing, computer vision. Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.Skills in strategic thinking, problem-solving, logical reasoning, and time management.
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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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Required Technical Skills: Experience with signal processing; proficient with the use of LabVIEW software. The position will develop, implement, and verify designs of electronic systems, including software/firmware for processing of waveforms received and transmitted via underwater transducers.
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We are seeking a qualified candidate for the role of FPGA Engineer who will be responsible for designing, implementing, and testing FPGbased solutions for critical signal processing applications.
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Knowledge of Digital Signal Processing ( DSP ) , FPGA, Xilinx Vivado, and human-machine interface (HMI) Python programming and RF processing applications for sof tware defined radios and corresp ond ing frameworks.
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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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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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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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Particular development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation.
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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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signal processing jobs in Arlington, VA
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