427 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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. May program software in support of job functions. Attends project meetings. Performs related duties as assigned Adaptability, excellence, and passion are vital qualities within Carnegie Mellon
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this role, you will support desktops, project servers, and high-performance computing systems, ensuring reliability and scalability across diverse environments. This role is ideal for someone who enjoys
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: GED or High School Degree 0-1 Years of Audio Visual Equipment Operation Experience 0-1
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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that bring together corporations, startups, investors, and program partners Design and deliver high-quality event and convening experiences, managing logistics, partner coordination, and execution across a diverse set
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The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our
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of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing