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These tools involve Matlab GUI, digital signal processing, communication with external instrumentation and control hardware, testing data processing etc. Demonstration of proficiency in Matlab programming involving multi-discipline, e.g. GUI, signal processing, controller communication, DAQ.
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Job Summary: The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering Directorate consists of Guidance, Navigation and Control (GNC), Signal Processing (SP) and Modeling and Simulation disciplines for Effectors.
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These systems typically include light sources, detectors, optical and electro-optical components, fiber optics, electronics and signal processing software functioning as a key sub-system in ASML optical metrology tool.
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The Engineer in this role will support advanced technology radar, guided munition and EW programs including research and development of advanced digital signal processing (DSP) algorithms, high-fidelity radar and RF modeling, simulation, analysis and integration with RF sensors and systems.
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Signal processing and analysis using Matlab and Python. Conduct various analyses and simulations, such as thermal, vibration and FEA modeling, and will also perform solid modeling design using Pro/E and generate detailed drawings, design review presentations, procurement of prototype parts.
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Basic Qualifications: Typically requires a Bachelors in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior Guidance, Navigation and/or Controls engineering experience Experience including at least two of the following: digital and/or modern control systems, dynamics, Kalman filter design, Monte Carlo, or signal processing.
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On our team, you ll be able to broaden your skillset into areas like signal processing, electronic warfare, machine learning, and artifi cia l intelligence. Experience with modeling and requirements tools, such as Magic Draw or Cameo, Sparx Enterprise Architect, or IBM Rhapsody or DOORS.
$81,800 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This position requires a software development background with specific experience in embedded systems, distributed processing, digital signal processing, and modeling & simulation.
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Exposure to acoustics and signal processing. We are searching for a Experimental Acoustics Engineer to join our Sensor Analysis and Data Modeling Department at the Applied Research Laboratory (ARL) at Penn State University.
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You will guide a cross-functional team in efforts including development and/or integration of real-time software, modeling and simulation, field demonstration, processing real-world data, trade studies in system and algorithm design, and requirements allocation and verification.
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Extensive knowledge about signal processing algorithms, MIMO, OFDM.·Extensive experience in modeling and mitigating RF impairments to signals such as·AGC, phase noise, frequency/clock offset, etc.
$140,000 - $200,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Perform design analysis including circuit modeling and simulation, field programmable gate array (FPGA) simulations, signal integrity modeling, power analysis, failure mode analysis, and manufacturability analysis.
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Experience with Digital Signal Processing (DSP) design or modeling and analysis of Software Defined Radios (SDRs) Experience with Digital Signal Processing (DSP) design or modeling and analysis of Software Defined Radios (SDRs.
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Basic understanding of amplifier design and Digital Signal Processing (DSP). Fine Suspension, Fine Box), Finite Element Magnetic Modeling (FEMM), etc. Familiarity with 3D modeling tools such as Solidworks.
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Proficient in data manipulation and analysis, data visualization, signal and data processing, electromagnetics, and/or system engineering. The candidate will work with radar algorithms and phenomenology, RCS signatures modeling, tactical software & hardware, and all-digital representations of complex missile defense radars such as AN/TPY-2 and LRDR. Common tasks for this position include scenario design, development, and execution, analysis tool development, and application of new or existing tools to perform complex analysis on radar system performance.
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