Join our dynamic team as a software developer focused on High-Performance Computing (HPC) to assist in the development and integration of scientific applications for researchers across various disciplines. You will work closely with research computing staff and faculty to build, optimize, and support tools that enhance workflow automation and job submission processes on the HPC cluster. Your daily tasks include developing scripts and services, contributing to web applications and APIs, integrating new software libraries, and ensuring adherence to best practices in software engineering such as version control and code reviews. You will also configure and test containerized scientific software using Singularity/Apptainer or Docker, perform performance testing, and collaborate on improving the usability and reliability of the HPC environment. This role requires proficiency in Python, JavaScript, C++, Git, Linux environments, and familiarity with web application frameworks, as well as experience with AI/ML tools like PyTorch and TensorFlow.
Skills
Python
C++
JavaScript
Git
Linux
Tensorflow
PyTorch
scikit-learn
Web Application Frameworks
Machine Learning
Feature Engineering
Data Analysis
CI/CD
What you'll do
Develop, test, and maintain tools for research workflows on the HPC cluster.
Contribute to web applications and command-line tools simplifying HPC usage.
Integrate new research applications and libraries into the cluster environment.
Follow software engineering best practices including version control and testing.
Configure and build scientific software and containerized applications for use.
Conduct performance testing and benchmarking of applications on the HPC.
Support efforts to improve usability, reliability, and automation in software.
What we're looking for
Experience with software development and maintenance for HPC environments.
Proficiency in Python, JavaScript, and web application frameworks.
Knowledge of Linux environments and containerization tools like Docker/Singularity.
Ability to follow best practices in version control, code reviews, and testing.
Strong analytical skills and experience with machine learning libraries (PyTorch, TensorFlow).
Capable of independent problem-solving and working collaboratively on projects.
Familiarity with data analysis, feature engineering, and AI algorithms.
Market check
Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$123,000–$199,000.
Peer median band
$123,000–$199,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,121–$195,110
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Washington University in St. Louis
Washington University in St. Louis is a private research university known for excellence in medicine, law, business, engineering, and the arts, affiliated with one of the nation''s top medical schools. Industry: Higher Education & Research
Washington University in St. Louis currently has
2 open roles
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