HPC systems generate large volumes of log and telemetry data from their various components. This data can provide valuable insight into system behaviors, but the various sources of information cannot be easily combined due to their different formats and timescales, among other things. This project aims to develop an agentic AI framework that helps to automatically analyze log and telemetry data to rapidly provide insights into the state and performance of the system. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees