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Pacific Northwest National Laboratory Masters Intern - High Performance Computing in RICHLAND, Washington

Organization and Job ID

Job ID: 312325

Directorate: Physical & Computational Sciences

Division: Advanced Computing, Math, and Data

Group: High Performance Computing

Job Description

The High-Performance Computing (HPC) Group at the Pacific Northwest National Laboratory (PNNL) seeks a M.S. candidate intern to participate in the research and development of one or more of the following research areas: scalable approaches for the design and development of system software and runtime systems for different application classes (including Machine Learning, graph analytics, and multi-physics simulations), including those that target heterogeneous system architectures; modeling of large-scale HPC system architectures and software environments including experience in distributed runtime software and performance analysis; optimization problems including multi-objective optimization in the area of characterizing and modeling the performance of HPC applications and runtime resource management using analytical, statistical, and Machine Learning approaches; compiler frameworks targeting heterogeneous architectures; hardware/software co-design methodologies; and advanced memory and processing technologies and architectures. Experience with large-scale storage and networking, programming models such as OpenMP, SIMD and SIMD-style acceleration, and modern programming languages such as C++-20 and Rust, while not essential, will also be considered a plus

Responsibilities and Accountabilities include:

  • Work closely with a mentor and research team to conduct technical research in areas of interest to impacted projects

  • Publish results in highly visible peer-reviewed venues (e.g., conferences and journals)

  • Collaboration and team work with internal and external research staff and domain scientists

  • Participate in and potentially lead technical presentations on the work

Minimum Qualifications

Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. Minimum GPA of 3.0 is required.

Preferred Qualifications

Currently enrolled in a Master’s Degree program in Computer Science or related field.

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Directorate: Physical & Computational Sci's

Job Category: Master's and PhD Level Internships

Group: High-Performance Computing

Opening Date: 2021-06-30

Closing Date: 2021-08-13