115 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Carnegie Mellon University
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tasks (working with tokenizers, JSONL formats or Hugging Face datasets). Demonstrated ability to read technical research papers and implement algorithms or baselines from code repositories. A combination
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energy consumption in U.S. households and the potential grid impact and customer adoption of heat pumps and advanced electrification measures. Responsibilities: Conduct research experiments within
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AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and
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energy consumption in U.S. households and the potential grid impact and customer adoption of heat pumps and advanced electrification measures. Responsibilities: Conduct research experiments within
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containerization and virtualization technologies, including VMware, VirtualBox, PodMan, and Singularity. Experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and infrastructure-as-code practices
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must have the ability to obtain and maintain a Department of Defense security clearance. Knowledge, Skills and Abilities: Strong ability to analyze source code and identify quality concerns, architecture
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applications, prototypes, or related projects (GitHub repositories, demo videos, code samples, etc.). Applications will be reviewed on a rolling basis until the position is filled. Joining the CMU team opens
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LLMs, AI applications, prototypes, or related projects (GitHub repositories, demo videos, code samples, etc.). Applications will be reviewed on a rolling basis until the position is filled. Joining
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Institute’s mission as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense. This position combines hands-on financial analysis with team leadership
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technical directorate. This group has expertise in the areas of software architecture, development, and engineering, including the ability to evaluate source code and hardware description language using both