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on-premises and in the cloud. Work with researchers and developers to configure complex pipelines to streamline multiple code repositories for automated deployments/upgrades, and work with others across
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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. Address in a timely manner all concerns expressed by staff and any disciplinary actions. Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and
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: Infiniband, Mellanox, OFED, Voltaire, Force10 Proven experience in: HPC architecture and performance tuning Cybersecurity in HPC/cloud environments Infrastructure as Code (AWS, Terraform, Ansible, Packer
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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scientific programming and the use of instrumentation. Engineering, design and use of bolometry, thermography and other instrumentation is beneficial. Incorporation of synthetic diagnostics into codes
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codes and standards. Ensure material received are in compliance with procurement requirements design/specifications, codes, program requirements and quality standards. Conduct supplier evaluations and
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infrastructure. Infrastructure as Code (IaC) & Tooling Write and maintain infrastructure and deployment code using tools such as ArgoCD (GitOps), Puppet (OS management), Go, Python, Bash, and GitLab CI. Support
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is