Graduate Summer Intern – Quantum Computing Emulation Optimization

Graduate Summer Intern – Quantum Computing Emulation for Optimization Location

CO - Golden

Intern (Fixed Term)

40

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.

The Advanced Computing Solutions Group in the NLR Computational Science Center has an opening for a graduate student researcher in Quantum Algorithms with emphasis on optimization.

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 design and implement quantum computing emulation capabilities on NLR HPC systems.

Responsibilities include:

• Assist in porting quantum computing optimization codes to CUDA-Q for use with NVIDIA GPUs.
• Collaborate with NLR researchers on developing formulations and algorithms for solving optimization under uncertainty problems using quantum computers.

Contribute to drafts of publications to appear in peer‑reviewed journals and conferences.

• 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.

Excellent written and verbal communication skills, ability to collaborate within a group of researchers with diverse technical backgrounds and experience, ability to self‑start and develop ideas independently.

Exposure to at least one of CUDA‑Q or Qiskit

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

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.

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