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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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) general-purpose hardware such as accelerators for AI and ML, high-performance computing, low-power edge computing, quantum computing, cybersecurity, chiplets, and CPU, TPU, GPU, and FPGA systems; or (2
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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level of experience working with a range of computer systems and applications, including microwave/microelectronics and low-level software languages such as C/C++ and/or FPGA hardware design languages
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as Instructors in the following areas: Circuit Design Digital Systems Control Systems Microprocessor-based Embedded Systems Communication Systems VLSI Design FPGA-based Embedded Systems Lasers
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committees This job will be filled at multiple levels, depending upon the successful candidate's competencies, education, and experience. Minimally requires a Bachelor's degree in an Engineering or Science
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process. Collaborate with engineers within IST, CINO and across ARL to deliver complex sensor systems. This position can be filled at multiple levels depending on education and experience. Minimally
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tasks associated Model based systems engineering Coordination with external collaborators This job will be filled at multiple levels depending upon the successful candidate's education and experience
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the entire sensor development process. Collaborate with engineers within IST, CINO and across ARL to deliver complex sensor systems. This position can be filled at multiple levels depending on education and