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job site and analyze the job in the field (20%-time allocation) to determine special requirements, such as scaffolding, fall protection or confined space entry. Identify potential hazards to Maintenance
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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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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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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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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