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Performs problem solving, model development, and algorithm design in computational electromagnetics, ray tracing, radar signal processing, and scientific visualization, with an emphasis on shooting-and-bouncing rays method.
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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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Minimum Qualifications BS in Electrical Engineering, Computer Engineering, Computer Science, or related field Proficient in LabVIEW – Certification a plus Experience: 1 to 3 years Desired Skills LabVIEW Certification (CLAD, CLD, CLA) LabVIEW Real-Time and LabVIEW FPGA Familiarity with PXI, cRIO, or cDAQ Signal Processing Experience Knowledge of communication protocols: TCP/IP, UDP, Modbus, CAN, Serial MATLAB, TestStand, Python, C.
$80,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Language processing, time series analysis, preventative maintenance, signal processing, 5+ years of experience in in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
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Coursework or experience in one or more of the following areas: digital electronics, analog electronics, systems integration, computer and embedded systems, reverse engineering, signal processing / analysis, communications systems.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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The job requires an understanding of the signal processing, Fourier optics, optical physics, modern optimization and machine learning algorithms, and C. Ph. D. or M.S. in physics, physical chemistry, electrical engineering, applied mathematics, computer science, or related areas.
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Apply advanced computer science techniques to signal and image processing to enable processing at the edge. We are looking for engineers, mathematicians, physicists, and computer scientists who collectively can provide the needed experience and skills in data fusion, target tracking, machine learning, and signal processing to achieve these goals.
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A Master’s degree or a PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or Computer Science/Engineering. The Signal Processing Department in the Undersea Systems Office (USO) of the Applied Research Laboratory (ARL) is seeking a motivated and talented Signal Processing Engineer to research, develop, analyze, and deliver new capabilities for the processing of undersea platform sensor data.
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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. B.S. degree in Computer Science, Computer Engineering, or the equivalent analytical domain and 14 years of proven experience in data science/machine learning, or Master's degree and 12 years of proven experience in data science/machine learning, or Ph. D. and 9 years of proven experience in data science/machine learning.
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Our employees are typically BS/MS holders in electrical engineering, computer engineering, software engineering, or computer science, but we will consider anyone with demonstrated skills and interest in software development and/or signal processing.
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Our FPGAs are used in a wide variety of applications, including: embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Requirements/Qualifications:Masters/PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or PhysicsAt least 15 years’ relevant research and/or work experience in programmable architectures, applications implementation, or other relevant experiencePractical coding experience in Verilog, Python, or C/C.
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Or PythonActive TS/SCI security clearanceBachelors or equivalent in Computer Science or Electrical EngineeringSolid understanding of complex software design conceptsScripting languages, for example Python, BASH, or similar.
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Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related technical discipline desired with 6+ years of experienceExperience with DSP fundamentals and FPGA implementationExperience with Matlab/SimulinkExperience with microchip EDA tools and flows (Synopsys, Cadence, etc.
$97,500 - $176,250 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will bring your experience in video coding and processing technology development to Dolby’s video codec R&D team.
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