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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. 7+ years of experience in systems engineering, embedded systems, power electronics, or related field.
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Experience with advanced robotic technologies such as AGV, ASRS, vision systems, machine learning and artificial intelligence Join our team and be a part of our global digital transformation journey toward factories of the future.
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Cyber relevant experience in Artificial Intelligence (AI) to include: AI Security, data engineering, and machine learning models. Cyber Intelligence Research: Work in Cyber Intelligence Research Group involves the development and application of various software and hardware tools to analyze complex information systems and technologies for vulnerabilities as well as the development and transfer of solutions for the Nation's most critical information system challenges.
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Bachelor of Science in Electrical Engineering. Lead development of mixed signal circuits (microcontroller/FPGA/power conversion/analog) for embedded controllers to serve mission critical industrial and life science applications.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
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Kforce has a client that is seeking a Manager Electrical Engineering in Lakewood, CO. Summary: The Manager Electrical Engineering that supports our Calibration Solutions business has responsibility for leading a dynamic team of hardware and embedded systems engineers to drive the development of cutting-edge electronic systems.
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The transformational benefits promised by IoT and technologies like artificial intelligence, machine learning, and deep analytics will not be realized unless and until Things themselves are made more intelligent and better connected.
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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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In this role, you will lead product definition, working closely with an embedded software team and closely collaborating with hardware engineering, systems engineering, and assay development.
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Work closely with the chief engineer, electrical engineers, signal processing, mechanical, and test engineers, to convey sensor design architectural details, software message interactions process flows, software architectural design layout, hardware placement design, and firmware control interfaces,Interface with technical management and execution of engineering activities requirements analysis, Implementation planning, integration and test, documentation, deployment, and system assessment.
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Bachelor’s, Master’s or PhD in Mechanical, Electrical or Software Engineering or Optics or Opto-mechanical Engineering. Examples of the products we work on are semiconductor lithography machines, robotics, computer vision, 3D imaging, artificial intelligence or Digital/Additive Manufacturing.
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Experience using various test equipment – Oscilloscope, Voltmeter, Logic Analyzer, Spectrum Analyzer Preferred Qualifications Candidate must be a US citizen and able to obtain and maintain a Secret Security Clearance BS and/or MS Degree in Electrical or Computer Engineering with 4 – 8 years of experience with embedded systems.
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Embedded Software Engineer I: Minimal experience developing embedded software for electrical, electronic, telematics, or controls systems required. Embedded Software Engineer II: 1 year experience minimum developing embedded software for electrical, electronic, telematics, or controls systems required.
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Experience with electrical engineering software for design and analysis, including SKM PowerTools, AutoCAD, and lighting design software. Experience in engineering design using Building Information Modeling (BIM) software.
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software engineering embedded artificial intelligence electrical jobs Company: Oakland University
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