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, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience. Programming experience, preferably in Python. Strong desire to learn new skills and
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treat one another, work together, and measure success. Basic Qualifications: BS degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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/Computer Engineering, or a closely related discipline. Minimum of 10–12 years of relevant experience (or equivalent) in one or more of the following: geospatial science/engineering, HPC/data center
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. in Quantum computing, Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a closely related discipline, with demonstrated knowledge of or research experience in
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down to board level. General computer skills (e.g. using menu and software driven test equipment). Experience installing, maintaining, inspecting, diagnosing, and repairing electrical systems, equipment
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and applicable experience. Experience in scheduling and prioritization of research tasks and strong customer service skills. Exceptional teamwork skills, computer skills (Microsoft Excel, Access, and
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within a multi-disciplinary research environment consisting of computational scientists, computer scientists, electrical engineers, domain scientists, and applied mathematicians conducting basic and
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learning solutions that support laboratory-wide training programs and organizational performance initiatives. This position resides in the Instructional Systems Design Group within the Office of Technical
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and approaches to solve complex problems (e.g., information retrieval/extraction, machine learning/deep learning, networking) Experience working with geospatial data and processing workflows and