455 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Carnegie Mellon University
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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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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-related data Strong data analytics skills and ability to maintain accurate and detailed records Qualifications Bachelor's degree in Information Systems, Computer Science, Business Analytics, or related
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About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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/procedures and related technical documentation. Identifies operating or installation problems. Recommends design modifications and or solutions. Perform related technical support for the engineering team
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assessments to co-create solutions for their capability gaps. Manage the pipeline: Develop proposals and budgets that align educational excellence with fiscal performance. Program Development and Delivery
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Who we are SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works
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collaboration pathways and keep the lab connected to emerging practice. Requirements Education / Experience BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant
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decisions regarding software design and technology selection including hands-on development activities. Requirements: BS in Computer Science, Software Engineering, Computer Engineering, or a related field
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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