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or automated theorem proving, network verification, routing protocols, packet scheduling, or applications of AI/ML to systems and security Strong computational and analytical skills, including solid software
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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
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Contributing to release testing, verification & validation documentation, and quality records in line with IEC 62304 or related standards Working closely with software engineers to identify risks early and
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Software Engineer: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project
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the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and