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experience working with large-scale scientific instrumentation (e.g., synchrotron radiation beamlines) Experience with EPICS IOC development Brookhaven Laboratory is committed to providing fair, equitable and
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leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources
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interdisciplinary teams. Preferred Knowledge, Skills, and Abilities: Experience scaling machine learning training and/or inference on multi-node HPC systems. History of implementing, adapting, or optimizing machine
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large-scale focused efforts: achieving quantum advantage through coherence-driven materials design and realizing scalable, modular quantum systems. These efforts integrate vertical co-design, from
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deliver advances in materials science and modular architectures that enable scalable, fault-tolerant quantum computing and quantum-limited sensing. The research program is organized around two large-scale
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Knowledge with multi-modal masked auto encoders Expertise in developing larger-scale AI models (SLURM) Other Information: Position is location onsite in Upton, NY BNL policy requires that after obtaining a