497 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Carnegie Mellon University
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What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
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Director of MBA Programs, this role serves as a primary face of the FT MBA, leading a professional team and partnering with faculty, administrators, and external stakeholders to ensure excellence in program
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activities are planned and conducted in accordance with regulations and University policy. The Institute for Computer-Aided Reasoning in Mathematics (ICARM) is a new NSF Mathematical Sciences Research
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What We Do At the SEI Artificial Intelligence Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI
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Solutions Division (SSD) comprises a large part of the Software Engineering Institute (SEI), a Federally Funded Research and Development Center (FFRDC) operated by Carnegie Mellon University (CMU) in
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Electrical Engineering, Computer Science, Statistics, or related discipline with 3 years of experience in hands-on software development; OR MS in the same fields with 1 year of experience; OR PhD in a relevant
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instructors and CMU Online Learning Engineering team members to collaboratively develop high-quality CMU Online courses. Core Responsibilities include: Developing online instructional assets that align with
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Solutions Division (SSD) comprises a large part of the Software Engineering Institute (SEI), a Federally Funded Research and Development Center (FFRDC) operated by Carnegie Mellon University (CMU) in
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national resource in software engineering and computer security. SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer