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into actionable schedules based on capacity, supplier lead times, and manufacturing constraints. Work with Control Account Managers and line management to prioritize resource allocation. Coordinate with Supply
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allocation models and performance metrics. Research & Innovation Leadership: Cultivate and lead a research-oriented culture within the center: identify and integrate emerging geospatial/HPC technologies (e.g
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division-wide initiatives as required. Prepare reports, presentations, and documentation to inform decision-making; manage budgets, expenses, and resource allocations. Deliver ORNL’s mission by aligning
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computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking
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allocation, job scheduling, and load balancing to maximize the efficiency of HPC systems. Team supervision and mentorship: Lead and mentor a team of engineers and administrators, providing technical guidance
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of HPC clusters, ensuring optimal performance, scalability, and reliability. Implement and manage job scheduling, resource allocation, and load balancing to maximize the efficiency of HPC resources
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system. Provide support to the development of budget ceiling request and monitor/report status throughout the year. Assist with providing budgetary and allotment guidance to ORNL staff and DOE staff
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) and MRP/ERP systems. Strong background in capacity planning, resource allocation, and production workflow optimization. Excellent communication, presentation, and interpersonal skills with the ability
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Documentation: Develop and manage key project artifacts such as charters, roadmaps, software quality assurance plans, and high-level requirements. Oversee Financials: Perform cost-benefit analyses, allocate
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allocations, we ask these scientists to publish their work in open literature. If you are excited about applying DevSecOps best practices to HPCs, come help us guarantee the integrity of open science