25 data-"https:"-"https:"-"https:"-"https:"-"U.S" 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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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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, 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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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
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complex electronic systems. Able to work independently and exercise sound technical judgment. Familiar with equipment design principles and techniques. Proficient in standard computer applications
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and contact information for three references. PDFs of 2 top publications (in prep is OK). Additional information: Application date: Priority consideration will be given to candidates who apply by 12/31
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interfaces for thermal studies. Analyze data and automate repeatable parts of fabrication, measurement, and post-processing (Python). Maintain and improve experimental setups; coordinate repairs, vendor