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That's why we need you, an engineer, physicist, or mathemati cia n, with a solid background in signal processing, to develop radar and antenna models. 2+ years of experience with signal processing or radar principles, including Fourier analysis, filtering, modulation te chn iques, or digital signal processing algorithms.
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Experience with modern machine learning development frameworks (e.g. Keras, TensorFlow, PyTorch) Experience modeling waveform and signal processing algorithms (e.g. Matlab) Additional Desired Skills: Experience with real-time software development Experience with containers and orchestration solutions (e.g. Docker, Kubernetes) Proficiency in prototyping, simulating, and testing systems in MATLAB is a must.
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Image chain analysis to include atmospheric modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data. 5-10 years of experience in image processing, digital signal processing experience, or remote sensing.
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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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The Maritime Domain Applications group in the STR Sensors Division develops advanced RF signal processing algorithms, AI/ML algorithms, implementation of advanced algorithms on prototype systems, and modeling and simulation of complex emerging threat and sensor scenarios with a focus on USN and DARPA applications.
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Roles and Responsibilities: Conduct acoustic and climate modeling for predicting and assessing performance Develop state-of-the-art signal processing algorithms for underwater sensing and communication systems Design next-generation transducer and acoustic sensors Rapidly prototype sensors and communication platforms Work on uncrewed and remotely operated underwater vehicles Basic Qualifications: Ability to obtain and maintain at least a Secret security clearance which requires US citizenship.
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Image processing and digital signal processing experience. Knowledge of National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) image chain.
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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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Core competency in multiple relevant technical fields; physics based modeling, algorithm development, RF or EO/IR sensor architectures, digital signal processing, AI/ML and modeling and simulation.
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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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Join our pioneering team at Leidos' High Fidelity Simulation Business Area, where we lead the charge in creating cutting-edge System of Systems solutions for the US Navy's simulation, training, and analysis needs.
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Picture yourself at the forefront of innovation, crafting the most advanced and game-changing trainers that redefine the US Navy's capabilities. As part of our dynamic, collaborative, and ethical team, your role will be pivotal, leaving a lasting impact on the US Navy's operations.
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Candidate should have a science or engineering educational background combined with a working understanding and practical application of modeling components of the image path to include sensor, detector, atmospheric, and material properties.
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Broad science and technology knowledge base that includes statistical and finite element modeling, clustering and classification, signal processing, and Machine Learning. Aptitude and desire to take on a leadership role as a Principal Investigator on a multi-year contract to support modeling of combined injuries in nuclear environments.
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Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development synthetic aperture radar (SAR) or similar fields. - 4+ years' experience in radar signal processing.
$78,000 - $162,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
signal processing modeling jobs in Arlington, VA
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