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

Posting Title

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

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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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

Job Description

The AI, Learning and Intelligent Systems (ALIS) Group within the National Lab of the Rockies' (NLR) Computational Science Center has an exciting opportunity for a graduate student to actively engage in a project developing an ecosystem of analysis and simulation tools for understanding power consumption and infrastructure requirements of AI data centers.

We are looking for a 3-month spring/summer student (remote, in-person, or hybrid). As a valued member of the team, the graduate student will collaborate closely with peers to improve NLR applications. The successful candidate will use software-based power measuring tools to sample the consumption of AI LLM workloads (fine-tuning, offline and online inference) on NLR's supercomputing (HPC). We particularly welcome candidates with creative problem-solving skills, interest in cross-disciplinary collaboration, and a passion for NLR's mission.

Responsibilities include:

• 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

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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

• 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

Preferred Qualifications

• Demonstrated experience with MLPerf and VLLM

• Demonstrated experience in reading and writing scientific documents

• Demonstrated experience with HPC i.e. Bash/Shell/Command line and SLURM

• Demonstrated experience with AI LLM workloads, generative AI etc.

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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: $51,200 - $81,900

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.

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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 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.

The National Laboratory of the Rockies (NLR) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NLR is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.

NLR is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. 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. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NLR by the Department of Energy (DOE).

Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with 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.

Please review the information on our Hiring Process ( website before you create an account and apply for a job. We also hope you will learn more about NLR ( , visit our Careers site ( , and continue to search for job opportunities ( at the lab.