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Candidate must have strong general knowledge of electrical/electronics engineering fundamentals as well as have actual experience designing and developing complex mixed signal electrical PCB assemblies and bringing them to production.
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As a valued member of our team, you will contribute to exciting projects that support the US Department of Defense and NASA. Our team strives to develop, apply, and maintain deep expertise in electrical engineering and embedded systems.
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Knowledge of basic engineering principles as they apply to hardware design, including electronics, wire harnesses, digital computers, computer engineering, power engineering, telecommunications, control systems, robotics, radio-frequency engineering, signal processing, instrumentation, and microelectronics.
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Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC and PMIC, or Battery Management System.
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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.
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Vision and Sensor Systems Electrical Engineering is responsible for all electrical engineering tasks related to the design, analysis, test and certification of aerospace Head-Up Displays, Helmet Mounted Displays, and Avionics Vision Systems in both commercial and military fields.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
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L3Harris is seeking a Electrical Engineer with knowledge of job area in Analog, Digital, or RF engineering. Applies moderately complex electrical engineering principles and techniques to support/lead design, development, documentation, verification, and manufacturing debug activities.
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Over 110 ECE faculty members are involved in 11 areas of research and education; bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design; and the School is either home to or a key player in almost 20 research centers and consortia.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Developing PCBbased product features on KLA products (analog, communications, digital signal processing, etc.) Strong electrical engineering and physics fundamentals (analog, optoelectronics design, electromagnetic theory, etc.
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Knowledge of real-time operating systems, digital signal processing, and digital control. Minimum 4 years of engineering experience in the development of firmware for embedded systems, power converters, or battery management system products.
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Semiconductor processing, device physics and electrical characterization techniques. PhD degree in an Engineering or Physics, Electrical Engineering, Chemistry, Material Science, or a related field of study with 4+ years of industry experience.
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Interest and breadth in several sub-disciplines within EE/ECE, including information and coding theory, digital signal processing, wireless communications, computer architecture, embedded software, embedded security, cryptography, analog design, RF/EM, sensors and antennas, photonics, power systems, and software architecture and design.
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Candidate must possess a Bachelor's Degree from an ABET accredited school in Electrical Engineering, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Software Engineering, Math, Physics, Computer Science or an equivalent degree with 2+ years of applicable experience.
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processing digital electrical engineering jobs
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