Graduate Intern: AI Data Center Power Analytics

National Laboratory of the Rockies; Ümraniye; On-site; TRY 2,223,000 - 3,556,000; Full time

Job summary

National Laboratory of the Rockies in Golden, CO seeks a Graduate Intern for power data analysis in AI data centers. You will measure GPU rack power, label events, and build models predicting power behavior of unmeasured workloads.

You'll review measurements, identify anomalies, and develop an automated detector trained on your own labeled data, collaborating with HPC and power systems researchers and presenting results in reports and conferences.

Qualifications

• Minimum of a 3.0 cumulative GPA.
• 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.

Responsibilities

• Review power measurements from AI workload experiments for anomalies and data quality issues, using an interactive visualization workbench.
• Hand‑label power ramps, load steps, and other critical events, and identify regions that exemplify characteristic workload behavior, following a documented labeling protocol.
• Investigate unexplained behavior by correlating power measurements with GPU telemetry, profiling data, job logs, and system configuration, and document the findings.
• Design, build, and evaluate an automated detector for power ramps and anomalies, trained and tested on labeled data.
• Present results and contribute to technical reports, papers, and conference presentations.

Skills

Python for data analysis

Time-series analysis

GPU computing familiarity

AI/ML workloads familiarity

HPC systems familiarity

Education

Bachelor’s degree or equivalent

Master’s degree or pursuing

PhD candidate/Enrolled

Tools

Slurm

Job description

National Laboratory of the Rockies in Golden, CO seeks a Graduate Intern for power data analysis in AI data centers. You will measure GPU rack power, label events, and build models predicting power behavior of unmeasured workloads.

You'll review measurements, identify anomalies, and develop an automated detector trained on your own labeled data, collaborating with HPC and power systems researchers and presenting results in reports and conferences.