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optimization. Significant experience deploying, scaling, and managing Kubernetes clusters, with a strong understanding of its architecture (pods, deployments, services, ingress) and container orchestration
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role, you will serve as a Data Performance Engineer in NERSC's Application Performance Group, architecting HPC and AI data services that advance fundamental science. You'll optimize storage systems
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to maintain optimal performance. Operate a variety of hand, power, and precision test tools and instruments. Assist in the design and modification of electronic equipment and systems, providing input and
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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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technologies: C, shell, and Python programming languages Git, runners, and complex CI/CD pipelines Using and developing AI (or machine learning) tools and services Database administration and optimization
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on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and