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Software Engineering Intern; Time-Limited​/Remote - WashU IT

Remote / Online - Candidates ideally in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: ISACA
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 40000 - 60000 USD Yearly USD 40000.00 60000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineering Intern (Time-Limited/Remote) - WashU IT
Location: St. Louis

Scheduled Hours
: 40

Position Summary

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.

Primary

Duties & 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.
Working Conditions
  • Normal office environment
Physical Effort
  • Typically sitting at a desk or table
  • Repetitive wrist, hand or finger movement
Equipment
  • Office equipment
Required Qualifications

Education: A diploma, certification or degree is not required.

Certifications / Professional Licenses: No specific certification/professional license is required for this position.

Work Experience: No specific work experience is required for this position.

Skills: Not Applicable

Driver's License: A driver's license is not required for this position.

Preferred Qualifications
  • Analytical Thinking
  • Artificial Intelligence Algorithms
  • C++ Programming Language
  • Communication
  • Data Analysis
  • Feature Engineering
  • Git
  • Independent Problem Solving
  • Java Script
  • Linux Environments
  • Machine Learning (ML)
  • Python (Programming Language)
  • Py Torch
  • scikit‑learn
  • Tensorflow
  • Web Application Frameworks
  • Work Collaboratively

Grade: G11-H

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

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