High Performance Computing Graduate Student
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Job description
## About the Role Los Alamos National Laboratory’s High Performance Computing (HPC) Division is seeking recent graduates for a paid post‑graduate internship. The position offers mentorship, a challenging project, and the opportunity to present work to colleagues within a world‑class supercomputing environment. ## What You’ll Do - Contribute to research, development, and software engineering for petascale computing platforms. - Work on projects involving cluster computing, system administration, and large‑scale data management. - Develop and optimize code using languages such as C++, Python, SQL, and Perl. - Participate in parallel programming, FPGA programming, and Linux system management tasks. - Collaborate with interdisciplinary teams to solve cutting‑edge technical challenges in HPC. ## Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related field. - Knowledge of or introductory experience with one or more of the following: cluster computing, system administration, C++/Python/SQL/Perl programming, Linux, parallel programming, FPGA programming, data storage, or computer networking. - Eligibility for Q clearance (U.S. citizenship required). - Ability to work on‑site part of the time (Hybrid work mode, within a 2‑hour commute of Los Alamos, NM). ## Benefits - Comprehensive medical, dental, and vision insurance. - 401(k) plan with 6% matching plus an additional 3.5% contribution. - Paid parental leave, flexible PTO, and tuition assistance. - On‑site gym, wellness programs, and extensive relocation assistance. - Opportunity to engage with cutting‑edge supercomputing research and a supportive scientific community.
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Estimated range — based on Fresher with 0-1 years experience (4 similar listings). Actual compensation may vary based on your specific experience, interview performance, and the company’s internal bands.
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