Summer R&D Graduate Intern

Job Description

Summer R&D Graduate Intern | Sandia National Laboratories

The Tone:
This is a summer R&D graduate internship at Sandia National Laboratories, primarily located in Livermore, CA, with remote options available across the U.S. Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. This role offers an exceptional opportunity to gain research experience within a highly collaborative environment, working directly with staff scientists on cutting-edge computational research that addresses demanding national security challenges.

The TL;DR
• Role: Internship
• Type: Temporary, Full-time
• Location: Hybrid (Livermore, CA)

• Team: Computer Science Research Institute (CSRI) at Sandia National Laboratories
• Mission: To contribute to cutting-edge computational research that addresses national security challenges and advances scientific and engineering applications.
• Tech Stack: C++, C, Fortran, Matlab, Java, Python, MPI, OpenMP, threads

What You’ll Actually Do
• Research: Review existing techniques, seek new approaches, and develop computing solutions pertinent to research areas.
• Development: Design and implement algorithms and software relevant to your assigned research area.
• Analysis: Execute and analyze simulation codes to gather and interpret data.
• Collaboration: Work closely with Sandia staff involved in your specific research area.
• Publication: Contribute to the analysis and preparation of research findings for potential publication.

The Must-Haves
• Background: Earned a bachelor’s degree and currently enrolled full-time in an accredited science, engineering, or math graduate program during the spring term immediately preceding the internship, or scheduled to graduate in the spring.
• Experience: Minimum cumulative GPA of 3.0/4.0. Must be legally authorized to work in the United States; U.S. citizenship may be required due to federal access restrictions.
• Skills: Software development and programming experience in languages such as C++, C, Fortran, Matlab, Java, or Python.
• Bonus: Majoring in chemistry, computer science, engineering, mathematics, neuroscience, physics, statistics, or a related field. Strong communication skills for multi-disciplinary teams. Knowledge of or interest in learning parallel programming techniques like MPI, OpenMP, and/or threads. Experience with mathematical modeling techniques (e.g., linear/integer programming, statistical modeling, system dynamics modeling).