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, and GPU cluster-based environment. • Strong troubleshooting and problem-solving skills. • Experience with vendor management and IT procurement related matters. • Ability to manage multiple
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this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools for developing and operating their solutions. For effective collaboration
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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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computational field is required. Solid coding skills and good experience with large AI models. Experience leading multiple software projects Familiarity with GPU computing environments and ML frameworks and
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Specific Integrated Circuits (ASIC), Processors (CPU, GPU, VPU and accelerators), Field Programmable Gate Arrays (FPGA) and System-on-Chips (SoCs), as well as Intellectual Property (IP) Core developments for
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maintain multiple GPU clusters and networked storage systems. Monitor system performance, troubleshoot hardware issues, and coordinate repairs or upgrades in collaboration with Temple ITS. Oversee the lab’s
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infrastructure, and GPU/CPU cluster environments. This role leads and mentors a team of Systems Engineers and Administrators while remaining deeply technical and hands-on, actively designing, deploying, and tuning
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-aligned Intelligence and Novel Exploration) group (Prof. I. Bogunovic) at the Department of Mathematics and Computer Science, University of Basel, is inviting applications for multiple PhD positions in
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stack across multiple clusters, including compilers, libraries, scientific applications, AI/ML frameworks, containers, modules, and workflow orchestration systems. Oversee the development and maintenance