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National Laboratory of the Rockies · 7 hours ago

Graduate (3-month) Intern – AI Data Center Workloads Characterization & Simulation

United States

Internship

Remote

Intern

$44K/yr - $71K/yr

The National Laboratory of the Rockies (NLR) is a leading institution in energy systems research and development. They are seeking a graduate student intern to engage in a project focused on developing analysis and simulation tools for AI data centers, collaborating with peers to improve applications and conducting power characterization experiments.

Clean EnergyCleanTechEnergyRenewable Energy

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

Qualification

PythonHigh-performance computingSensitivity analysisGitHPC tools (Bash/SLURM)AI LLM workloadsScientific writingCross-disciplinary collaborationCreative problem-solving

Required

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

Currently enrolled in or recently graduated from a master's degree, or currently enrolled in a PhD program in an Engineering, Computer Science, Applied Math, or related field

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