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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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Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical data. Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance.
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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Our group's diverse expertise enables us to solve a wide range of radar, electronic warfare (EW), remote sensing, and signal processing problems for maritime missions. Have 3 or more years of experience applying signal processing, pattern recognition, machine learning, deep learning, or related techniques with respect to information extraction from electromagnetic systems.
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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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Marine mammal monitoring and offshore wind applications of acoustic signal processing. Anti-submarine Warfare (ASW) applications of acoustic signal processing. Undersea Acoustics Signal Processing Engineer.
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Masters of Science or Ph. D. in Image Processing or Digital Signal Processing preferred. 10-12 years of experience in image processing, digital signal processing or related field.
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Required: Experience in one or more of the following:digital signal processing (DSP),radar measurements and radar signal processing,remote sensing (synthetic aperture radar (SAR), hyperspectral imaging (HSI), etc.
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Program Support: Support advanced technology radar, guided munition, and electronic warfare 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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7 to 10 years' experience as a firmware engineer developing and implementing signal processing algorithms on large, dense, high-speed FPGAs (e.g., Xilinx, Altera) using VHDL or Verilog.
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1+ years of experience in digital signal processing, with a focus on audio signal processing and acoustics. Key Responsibilities:Signal Processing Algorithm Development:Design and implement digital signal processing algorithms for audio enhancement, including noise reduction, echo cancellation, beamforming, and equalization.
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Minimum 5 years' experience as a firmware engineer developing and implementing signal processing algorithms on large, dense, high-speed FPGAs (e.g., Xilinx, Altera) using VHDL or Verilog.
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Our programs enable the warfighter to utilize cutting edge technologies like Software Defined Radios (SDRs), high powered digital signal processing, and modern DevSecOps to achieve their goals to dominate the RF spectrum.
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RF, analog, digital, and / or mixed signal circuit design or analysis and / or digital signal processing. The Receiver, Exciter, and Back-End Processing (REBEP) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within Raytheon.
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The successful candidate for this position is a subject matter expert in Radar design, Radio Frequency (RF) design and electronics with deep understanding of radar principles, waveform design, and signal processing algorithms.
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