Hybrid Graduate Intern – AI Data Center Workloads Characterization & Simulation

at National Renewable Energy Laboratory

• Job title: Graduate Intern – AI Data Center Workloads Characterization & Simulation
• Job type: Internship
• Experience level: Entry level
• Salary: $44,500 - $71,200 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python
• Location requirements: Hybrid, Golden, United States

About the role

• Graduate Intern developing analysis tools for AI data center power consumption and infrastructure assessment. Collaborating with peers on power characterization experiments in a dynamic research environment.

Responsibilities

• Contribute to the development of software to execute power characterization experiments of AI LLM workloads under different parameter assumptions i.e. sensitivity analysis
• Performing computational experiments, running batch experiments on NLR HPC using SLURM
• Analyzing results capturing trends and tradeoffs between parameter configurations
• Coordinating data exchange to inform other team members’ efforts
• Contribute to writing and presenting reports and conference proceedings related to characterization tests

Requirements

• Minimum of a 3.0 cumulative grade point average.
• Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
• Earned a bachelor’s degree within the past 12 months.
• Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
• Earned a master’s degree within the past 12 months.
• Must be enrolled as PhD student from an accredited institution.
• Demonstrated experience with software development in Python.
• Demonstrated experience with high-performance computing.
• Demonstrated experience with coding repositories i.e. Git.
• Demonstrated experience with conducting sensitivity analysis.

Benefits

• medical, dental, and vision insurance
• 403(b) Employee Savings Plan with employer match*
• sick leave (where required by law)