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Graduate Summer Intern – HPC Operational Analytics

Job in Papillion, Sarpy County, Nebraska, 68046, USA
Listing for: National Laboratory of the Rockies
Full Time, Part Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Data Engineer, Data Scientist, Software Engineer
Salary/Wage Range or Industry Benchmark: 44500 - 71200 USD Yearly USD 44500.00 71200.00 YEAR
Job Description & How to Apply Below

Posting Title

Graduate Summer Intern – HPC Operational Analytics

Location

Remote

Position Type

Intern (Fixed Term)

Hours Per Week

40

Working at NLR

Join the National Laboratory of the Rockies (NLR), where world‑class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. NLR focuses on foundational science and applied systems engineering to deliver advanced, secure, reliable, and cost‑effective energy solutions that strengthen U.S. industries, support job creation, and promote economic growth.

Job Description

The Advanced Computing program at NLR is looking for a graduate student researcher in High‑Performance Computing (HPC) Operational Analytics. The researcher will assist in building the data foundation and AI‑driven intelligence infrastructure for the facility, 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
Basic Qualifications

Minimum cumulative GPA of 3.0.

Undergraduate:
Must be enrolled full‑time in a bachelor’s program at an accredited institution.

Post‑Undergraduate:
Must have earned a bachelor’s degree within the past 12 months; internship up to one year.

Graduate:
Must be enrolled full‑time in a master’s program at an accredited institution.

Post‑Graduate:
Must have earned a master’s degree within the past 12 months; internship up to one year.

Graduate + PhD:
Completed master’s degree and currently enrolled in a PhD program at an accredited institution.

Must meet educational requirements prior to employment start date.

Additional

Required Qualifications
  • Proficient in Python and the data science/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 large‑scale data formats such as time‑series telemetry, system logs, or text data
  • Familiarity with integrating Large Language Model APIs into software workflows or building agentic systems
  • Basic understanding of supercomputing architecture or facility operations
Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full‑time 40 hours per week)

$44,500 – $71,200

Benefits Summary

Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave as required by law. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* Based on eligibility rules.

Badging Requirement

All employees must obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12. Interns extending beyond six months will be subject to this requirement.

Drug Free Workplace

NLR is committed to maintaining a drug‑free workplace in accordance with federal law. A pre‑employment drug test will be required; a positive test may result in withdrawal of the employment offer.

Submission Guidelines

Please include a cover letter and résumé with each application. Applications are not kept on file for future positions.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, or any other protected status under applicable law.

Reasonable Accommodations

Requests can be submitted in accordance with the employment policies at http://(Use the "Apply for this Job" box below)..html

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