TITANS Software Intern — Summer 2027 (Onsite)

Sandia National Laboratories; Albuquerque (NM); On-site; USD 25,000 - 36,000; Part time

Benefits offered by this job

Flexible work arrangements

Generous vacation and 401k

Relocation assistance

Job summary

Sandia National Laboratories invites applicants for the TITANS Software Internship Program for Summer 2027 in Albuquerque, NM. Interns will collaborate with software engineers on mission-critical projects spanning high-performance computing, data analysis, and real-time applications, mentored by staff while contributing to interdisciplinary research.

The program emphasizes Agile practices, team-based development, and experiences in machine learning, geospatial analysis, and performance

Qualifications

• Earned bachelors degree.
• Currently attending and enrolled full-time in the spring term or scheduled to graduate in spring in an accredited science, engineering, or math graduate program.
• Minimum GPA of 3.0/4.0.

Responsibilities

• Collaborate on Cutting-Edge Software Development: design, develop, and optimize software across domains like HPC, ML, data analysis.
• Enhance User Experience and Interface Design: improve web apps and UIs for diverse users.
• Implement and Optimize Machine Learning Models: develop and refine ML algorithms for real-world challenges.
• Participate in Agile Development Practices: gain hands-on experience in Scrum and cross-functional teamwork.
• Contribute to Interdisciplinary Research Projects: integrate software with scientific research, e.g., geospatial analysis.

Skills

Communication skills

Team collaboration

Agile methodologies

Education

Earned bachelors degree

Currently attending full-time spring term or graduating spring

Minimum GPA 3.0/4.0

Tools

Microsoft Office Suite

Programming languages & OS

Job description

Sandia National Laboratories invites applicants for the TITANS Software Internship Program for Summer 2027 in Albuquerque, NM. Interns will collaborate with software engineers on mission-critical projects spanning high-performance computing, data analysis, and real-time applications, mentored by staff while contributing to interdisciplinary research.

The program emphasizes Agile practices, team-based development, and experiences in machine learning, geospatial analysis, and performance