Posting Title

Graduate Summer Intern – I/O optimization for data-intensive workflows on HPC

.

Location

CO - Golden

.

Position Type

Intern (Fixed Term)

.

Hours Per Week

40

.

Working at NLR

NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

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. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Advanced Computing Solutions Group in the NLR Computational Science Center has an opening for a graduate student researcher in HPC with special emphasis on workflow I/O optimization. I/O operations on HPC systems frequently emerge as key performance bottlenecks, turning data storage and movement into a major challenge. The intern will help evaluate the performance and efficiency of I/O operations within scientific computing workflows. This project will examine the I/O behavior of representative NLR problems such as resource estimation (reV) and AI/ML training/inference based on spatial data with the goal of improving the throughput of data movement.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NLR. The successful candidate will collaborate with NLR staff and researchers to optimize the performance of scientific workflows in HPC.

Responsibilities include:

• Familiarize yourself with the NLR flagship datasets (e.g. WTK, NSRDB, Sup3rCC) and scientific workflows that utilize them.
• Understand and leverage software frameworks to analyze the storage structure in NLR HPC systems: parallel file systems, Lustre, Progressive File Layouts, HDF5 chunking, etc.
• Collaborate with NLR researchers to utilize profiling tools (e.g., Darshan) to analyze I/O footprint of scientific workflows: random and contiguous reads/writes, latency and throughput, metadata operations.
• Design and create representative I/O benchmarks.
• Process and visualize the profiling results to suggest and implement I/O improvements.
• Author, present, and assist in the preparation of technical papers, reports, and conference proceedings on topics related to HPC storage and data movement.

.

Basic 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.

Please Note:
• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Preferred Qualifications

·       Demonstrated programming experience in multiple languages such as Python and/or Julia on Unix/Linux systems.

·       Demonstrated experience in Shell scripting and Conda/Jupyter use.

·       2+ years experience using PyTorch or Tensorflow or a related AI/ML framework.

·       Demonstrated experience working with large data sets (e.g., CFD outputs, NSRDB, WTK, etc.) and interfaces for science applications, including data processing and analysis tools.

·       Familiarity with HPC profiling and benchmarking tools, such as Darshan and OSU MPI Test Suite.

·       Experience with high-performance computing, distributed computing, and related technologies.

·       Ability to quickly learn new programming languages and frameworks and adapt to changing research demands in a fast-paced scientific environment.

·       Demonstrated experience developing workflows, including job scheduler integration, data management of large datasets, data movement, and data availability/sharing with remote users and systems.

.

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)

Job Profile: / Annual Salary Range: $44,500 - $71,200

NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.

Benefits Summary

Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. 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

NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments 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 the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), 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, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.