34 data-"https:"-"https:"-"https:" positions at Lawrence Berkeley National Laboratory
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electronics and HPC is to make more efficient use of transistors through architecture specialization, application-specific acceleration, and compilers/programming-models that better control data movement than
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scientific data acquisition. A significant focus of this work will be on our growing suite of autonomous and robotically controlled instrumentation for materials growth, characterization, and fabrication with
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design and implement mitigation strategies. Validate, analyze, and interpret experimental data. Firmware development & programming tools to interface with FPGA-based electronics. Quantum verification and
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the scanning tunneling microscope. Prepare and characterize 2D material heterostructures in support of optical and thermal experiments. Automate parts of sample fabrication, and data analysis to improve
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to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications
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computing and data analysis for the Department of Energy's (DOE) Office of Science programs. NERSC is searching for a knowledgeable and inspired group leader for the Storage Systems Group who will be
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information: Application date: Priority consideration will be given to candidates who apply by January 31, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full
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, VM infrastructure, networking, performance tuning, or data center planning. Co-leading group projects of small to medium size and complexity, to implement and deploy new computing technologies and
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opportunity to build the foundational software that powers world-class scientific research and to define the future of programmable, data-driven HPC data centers, as well as the American Science Cloud
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational