17 cloud-computing-"https:" "https:" "https:" "https:" "https:" uni jobs at Lawrence Berkeley National Laboratory in United States
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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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math and Computational Sciences Division has an opening for a Beyond Moore Computational Research Scientist to evaluate and develop devices to hardware/circuit co-design flow for architectural
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worldwide. In this role, developers create and operate robust, mission-critical solutions that collect, process, store, and present network measurements and event data using open-source and cloud-native
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Fellowship Location: Berkeley, California 94720, United States of America [map ] Subject Area: Computing Sciences Appl Deadline: 2025/10/24 11:59PM (posted 2025/09/04, listed until 2026/03/04) Fellowship
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, supporting the operation and evolution of an advanced platform that integrates cloud-native software, on-premise hardware, and high-performance computing hosted in National Lab data centers. This role is
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environments or management of large-scale Linux-based systems in a high-performance computing, cloud computing, or hyper-scale environment. Experience with some or all of our key technologies: containers
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Assistance Program A culture where you'll belong - we are invested in our teams! Parental bonding leave (for both mothers and fathers) Pet insurance You will: Operate, maintain, & make mechanical, non
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Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC's mission is to accelerate scientific discovery through high performance
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issues. What Is Required: * A Bachelor's Degree (or equivalent knowledge/training) in Computer Science, Data Engineering, or a related technical field and a minimum of 8 years of demonstrated experience
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community by building, integrating, and maintaining Linux-based resources, high-performance computing cluster systems, and Kubernetes clusters. This role provides extensive expertise in High Performance