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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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coordinate cross-functional teams of researchers, platform engineers, and application developers to move AI capabilities from prototype to production. This often includes mentoring teams on best practices
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and service meshes that expose OLCF computing resources to diverse scientific workflows and external facilities. Define API specifications, manage versioning, and guide systems from prototype through
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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record of impactful research aligned with one or more of the group’s focus areas Experience with at least one emerging computing paradigm or technology, such as neuromorphic or analog computing, silicon
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: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training
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science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience applying data analytics, statistical modeling
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to DOE sponsors, industrial partners, and international collaborators. Basic Qualifications: PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. A
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well as electromagnetic, structural and thermal FEA programs (i.e. MagNet, Motor CAD, ANSYS and COMSOL) Capable of carrying designs through to prototype build and test. Be cognizant and knowledgeable about motor drive