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Sandia National Laboratories · 1 day ago

Intern, R&D Graduate Year Round - MW University Partnerships, Remote

United States

Internship

Remote

Intern

Start in 2026 Spring

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. They are seeking a highly motivated intern to support technical research in optimization, inverse methods, and machine learning, working with the FuSED team on software development to solve inverse problems and train machine learning algorithms.

GovernmentInformation TechnologyNational Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Assist staff members in testing, developing and analyzing model algorithms

Assist in processing data using various software systems, including Python, and C++, FEM analysis tools

Conduct directed research in these fields utilizing scientific literature

Meet with team members in group meetings, work directly with a mentor, and report out on work activity to others

Help plan and design experiments, write reports in PowerPoint or Word

Partner with staff and graduate interns to support projects objectives

Qualification

PythonC++Machine LearningFinite Element AnalysisExperimental MethodsNumerical MethodsSignal ProcessingModel ValidationCommunication SkillsOrganizational Skills

Required

Currently attending and enrolled full time in an accredited undergraduate program

Pursuing a science, engineering, or math major

Minimum cumulative GPA of 3.0/4.0

Ability to work up to 25 hours per week during the academic year, and up to 40 hours per week during the summer

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

Preferred

You must be working towards a Ph.D. or Master's degree in mechanical engineering, civil engineering, aerospace engineering, materials science, engineering mechanics, applied mathematics or other applicable branches of science or engineering

You are available start in 2026 spring semester remotely in at an introductory level and then near-full time for 8-weeks during the summer period

Experience (or academic focus) in topics in machine learning methods and techniques

Proficient skills in Python or C++ coding languages

Experience with finite element analysis, experimental methods, signal processing, model validation and calibration, numerical methods, and measurement systems

You should be able to work independently, with the ability to integrate effectively into a dynamic multidisciplinary teaming environment

You should demonstrate strong interpersonal, organization, and communication skills (both oral and written)

Minimum cumulative GPA of 3.5/4.0 is desired

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 and amenities aimed at creating a solid work/life balance