Apply on Employer Site

Sandia National Laboratories · 2 days ago

Intern, R&D Graduate Summer - Computational Materials Science, Hybrid

Albuquerque, NM

Internship

Hybrid

Intern

Start in 2026 Summer

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. The Summer R&D Graduate Intern will join the computational materials science team to apply skills in materials modeling, simulation, and machine learning to address national challenges.

GovernmentInformation TechnologyNational Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Simulate atomistic, molecular, or grain-scale phenomena to understand and predict material behavior during manufacturing, performance, or aging

Apply machine learning and artificial intelligence to advance simulation methods, enable high-throughput workflows, or discover data-driven process-property-performance relationships

Visualize and interpret data using appropriate software tools and analysis methods

Collaborate with your technical mentor and research team to plan and execute your project

Contribute to publications, presentations, and technical reports to communicate your results

Grow your research skills in a high-performing research team

Qualification

Materials ScienceSimulationAnalysisMachine LearningPythonMATLABRTeam CollaborationTechnical Communication

Required

Earned bachelor's degree

Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program

Minimum cumulative GPA of 3.0/4.0

Ability to work up to 40 hours per week during the summer

U.S. citizens, legal permanent residents, asylees or refugees in the U.S

Preferred

Materials Science, Physics, Chemistry, Chemical Eng., Mechanical Eng., Nuclear Eng., or relevant major

Experience conducting simulation and analysis

Proficiency with scripting for scientific analysis using languages like Python, MATLAB, R, or similar

Proven ability to succeed through teaming with others

Demonstrated ability to develop and present technical ideas in oral and written form

Benefits

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)

Generous vacation

Strong medical and other benefits

Competitive 401k

Learning opportunities

Relocation assistance

Amenities aimed at creating a solid work/life balance