Graduate Summer Intern – HPC Operational… at National… · Remote

Summary: The National Laboratory of the Rockies (NLR) is seeking a Graduate Summer Intern for its Advanced Computing program in High-Performance Computing (HPC) Operational Analytics. The role involves assisting in building data foundations and AI-driven intelligence infrastructure, focusing on optimizing the operations of the Kestrel supercomputer. Responsibilities: - Develop scalable Python pipelines to ingest and analyze diverse HPC telemetry - Build and evaluate machine learning models to characterize complex HPC workloads - Assist in developing automated, agentic AI workflows - Process and package operational data - Write robust, test-driven code and document data schemas within a collaborative Git repository Required Qualifications: - Minimum of a 3.0 cumulative grade point average - Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution - Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution - Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution - Proficient in Python, specifically the data science and analytics stack - Comfortable operating in a Linux command-line environment - Software engineering fundamentals, including Git and unit testing Preferred Qualifications: - Experience running code on HPC systems or using workload managers (e.g., Slurm) - Experience handling complex, large-scale data formats (time-series telemetry, system logs, or text-based data) - Familiarity with integrating Large Language Model (LLM) APIs into software workflows or building agentic systems - Basic understanding of supercomputing architecture or facility operations Required Skills: Python, Data Science, Data Analytics, Linux Command-Line, Software Engineering Fundamentals, Git, Unit Testing, High-Performance Computing (HPC), Workload Managers, Time-Series Data, System Logs, Large Language Model (LLM) APIs, Supercomputing Architecture Benefits: Medical, dental, and vision insurance, 403(b) Employee Savings Plan with employer match, Sick leave (where required by law), Performance-, merit-, and achievement- based awards that include a monetary component, Relocation expense reimbursement