Intern, R&D Graduate Year Round - Quantum Information Science, Remote

We are seeking a year-round graduate intern specializing in quantum algorithms. The position will be mostly remote work with the opportunity to have planned site visits when necessary. The selected candidate will collaborate with one or more research teams and contribute to cutting edge projects in quantum computing.

Successful candidates will demonstrate technical leadership, produce high quality research results, and publish innovative findings in peer reviewed scientific journals. When appropriate, contributions to open source software are encouraged to support broader project goals. Strong communication skills and the ability to collaborate effectively in a hybrid, team oriented environment are highly valued for this role.

• Designing and analyzing algorithms for high energy physics models, with an emphasis on methods suitable for future quantum computing architectures and applications relevant to high energy physics.
• Developing and studying Quantum Markov Chain Monte Carlo (MCMC) schemes for future quantum computing architectures.

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here.

• Earned bachelor's degree
• Currently attending and enrolled full time in an accredited science, engineering, or math graduate program
• Minimum cumulative GPA of 3.0/4.0
• Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer
• To be eligible for this position, applicants must be legally authorized to work in the United States of America, Sandia will not sponsor work authorization for this position

• Pursuing a degree in computer science, physics, or a similar field
• Expertise in one or more of the following areas: quantum information science, quantum computing, high energy physics, Bayesian inference, Markov Chain Monte Carlo schemes
• Relevant publication record

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

Sandia's Quantum Information Science department develops algorithms and tools that enable test and evaluation of experimental hardware, algorithms and software stack for near-term quantum computers, and sensing capabilities in support of mission applications. Department R&D focuses on noise characterization, benchmarking, simulation, error models, quantum control, quantum algorithms, and quantum sensing. The Department closely collaborates with researchers in related areas working on similar pursuits;

closely collaborates with experimentalist groups at Sandia working on developing practical qubits in various technologies; has strong working relationships with the U.S. Department of Energy (DOE) offices and other U.S. government agencies interested in quantum information science (QIS); and collaborates, broadly, with academic and commercial colleagues in the external QIS research community.

Through the department, you will also have the opportunity to join the The QPL and QuAAC groups, which are multidisciplinary research and development groups within Sandia. The QPL develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. It also works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms.

The QuAAC works on all aspects of quantum algorithms, including the design and analysis of new algorithms, establishing conditions for quantum advantage, and resource estimates for problems in science and engineering. It also collaborates broadly with scientists in academia, industry, and other national labs. Both groups are geographically dispersed but maintain a strong culture of collaboration and are committed to advancing the field of quantum computing.

The QPL and QuAAC teams publish their research in scientific journals including Nature, Nature Physics, Nature Communications, Physical…