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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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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 4 days ago - 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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Due to success of continued growth - the Leidos Innovations Center (LInC) at Leidos (in Arlington, VA or San Diego, CA) currently has an opening for a Sr Signal Processing Engineer. As a LInC EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems.
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Good knowledge of Django, Flask, or similar Python frameworks. Experience writing effective and scalable Python code. Good knowledge of Django, Flask, or similar Python frameworks. The full stack developer will be building highly scalable full-stack applications, implementing authentication systems and other security controls (e.g. logins, web API tokens, OAuth), Database-driven applications and use of ORMs to exchange data.
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Background/experience in one of the following areas: signal processing, image/video processing, machine learning, computer vision, computational hardware, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python.
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Knowledge of multi-threaded signal processing algorithms in Python/C. Qualifying candidate will be a highly motivated individual with a specialty in Digital Signal Processing (DSP) and Wireless Protocols along with a strong software background to perform cutting-edge research and development on real-time Software Defined Radio (SDR) and protocol processing systems.
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Are proficient in communication theory and digital signal processing (DSP), with a solid foundational knowledge of, and experience with, the physical, data link, and media access layers of communication or networking systems.
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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.
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Integrate and leverage open-source tools to efficiently orchestrate complex digital signal processing algorithms, comprehensively visualize processing results and system configuration, and or aggregate processing results for further innovative analysis and data discovery.
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FPGA Design Engineers are responsible for the efficient implementation of novel signal processing algorithms. Java/Python) and hardware design (VHDL/Verilog/System Verilog) experience.
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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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Chip-Scale Design: digital, RF and/or mixed signal device packaging design/layout (2D-3D, chiplet/UCIe), substrate/interposer design (HDI, HDBU, EMIB), chip attach (epoxy, solder), chip interconnect (chiplet, flipchip, wire/ribbon bonding), modeling & simulation (power, speed, timing, signal integrity, thermal, structural, reliability)Hardware Programming: FPGA (i.e. Verilog, VHDL), Programming (Linux command line/scripting, Python, Java, and C.
$97,500 - $176,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Furthermore, this associate is responsible for developing imaging engineering algorithms towards the design and implementation of medical diagnostic and clinical instrumentation, equipment, and procedures, using the principles of computer, electrical and digital signal processing engineering for the deployment of our Next Generation Diagnostics Platforms.
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