Software Engineering Intern (Time-Limited/Remote) - WashU IT

Washington University in St. Louis • Clayton, MO

1d • Remote

About The Position

Assists in application development and integration on our High-Performance Computing (HPC) cluster used by researchers across disciplines. Work closely with research computing staff, software engineers, and faculty to help build, optimize, and support scientific and data-intensive applications on a modern HPC environment. This role is ideal for a student who enjoys software development, is curious about large-scale computing, and wants hands-on experience enabling real-world research in areas such as computational science, AI/ML, bioinformatics, and data analytics.

Requirements

• A diploma, certification or degree is not required.
• No specific certification/professional license is required for this position.
• No specific work experience is required for this position.
• Not Applicable
• A driver's license is not required for this position.

Nice To Haves

• No additional education unless stated elsewhere in the job posting.
• No additional certification/professional licenses unless stated elsewhere in the job posting.
• No additional work experience unless stated elsewhere in the job posting.
• Analytical Thinking
• Artificial Intelligence Algorithms
• C++ Programming Language
• Communication
• Data Analysis
• Feature Engineering
• Git
• Independent Problem Solving
• JavaScript
• Linux Environments
• Machine Learning (ML)
• Python (Programming Language)
• PyTorch
• scikit-learn
• Tensorflow
• Web Application Frameworks
• Work Collaboratively

Responsibilities

• Develop, test, and maintain tools, scripts, and services that support research workflows on the HPC cluster (e.g., job submission helpers, workflow automation, monitoring tools).
• Contribute to internal web applications, command-line tools, or APIs that simplify HPC usage for researchers.
• Assist with integrating new research applications and libraries into the cluster environment.
• Follow software engineering best practices including version control, code reviews, issue tracking, and testing.
• Write clean, maintainable, and well-documented code.
• Help identify and implement improvements to development processes and tooling.
• Configure, build, and test scientific software, libraries, and containerized applications (e.g., Singularity/Apptainer, Docker) for use on the cluster.
• Contribute to performance testing and benchmarking of applications, analyzing results and suggesting improvements.
• Support efforts to improve usability, reliability, and automation within the HPC software stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed