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-performance computing classified ecosystem. Major Duties and Responsibilities: Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system
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reliable, automated execution of scientific applications across heterogeneous, geographically distributed computing environments, integrating compute, storage, networking, and visualization resources
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analysis, with an emphasis on: Mesh generation Steady and unsteady flows Sensitivity studies Validation activities Expertise in computational modeling, including numerical analysis, finite element methods
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through dashboards and automation. You’ll collaborate closely with IT operations, network, and facilities to ensure reliable service, efficient capacity usage, and compliance with ORNL and industry
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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. Scientific software development and deployment. High-speed network and parallel file system architecture. Troubleshooting, diagnostics, and technical support. Strong communication and multitasking skills
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code and disassembly a plus. Familiarity with embedded systems preferred. Prior use and familiarity with web or network-related tools, e.g., burpsuite and wireshark a plus. Demonstrated desire and
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available compute, storage, and networking resources. Contribute to CI/CD practices, software packaging, documentation, and sustainable development workflows for research computing environments. Deliver
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engineering principles and practice. Experience with modelling and simulation of complex, interdisciplinary systems. Knowledge of computer architecture, computer networking, and experience with the development
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environments. Project planning and project management experience. Familiarity with enterprise platforms and tools such as .Net, Vue JS, SharePoint, VS Code, GitHub, GitLab, Azure DevOps, Jira, ServiceNow, Power