HPC & AI Research Scientist for Scientific Computing

uchicago; Chicago (IL); Hybrid; USD 90,000 - 130,000; Full time

Job summary

The University of Chicago Research Computing Center (RCC) seeks a Computational Scientist to develop software for data acquisition, ingestion, and integration in multi‑institutional projects. You will design scalable back‑end services and user interfaces to accelerate scientific output and collaboration with faculty and researchers.

This hybrid position involves advising on RCC resources, HPC, AI, and cloud platforms; developing, profiling, and maintaining scientific software and workflows; and

Qualifications

• Education: college or university degree in a related field.
• Work Experience: 2–5 years in a related job discipline.
• Certifications: ---

Responsibilities

• Partner with faculty and research groups as a domain expert to develop and implement computational solutions that advance their research.
• Advise on the effective use of RCC resources, HPC systems, AI technologies, and cloud platforms.
• Support researchers' use of AI and machine learning tools, including AI coding assistants and agents (e.g., Claude Code), model APIs (e.g., Anthropic, OpenAI), and open-weight models hosted on RCC systems.
• Develop, maintain, optimize, and support scientific software, computational workflows, and research computing environments on RCC systems.
• Troubleshoot, profile, optimize, and port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O.
• Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other collaborative initiatives.
• Contribute computational expertise to grant proposals, including scoping the AI, HPC, cloud, and storage resources committed to the project.
• Develop and maintain technical documentation and knowledge base resources.
• Contribute to the continuous improvement of RCC systems, services, operational practices, and user support processes.
• Solves user problems promptly and professionally. Proactively recommend appropriate RCC technologies and services.
• Stay current with advances in AI, HPC, GPU computing, and cloud technologies, and evaluate emerging tools for adoption at the RCC.
• Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
• Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.
• Performs other related work as needed.

Skills

C++

Python

Linux

HPC

Slurm

Docker

Apptainer/Singularity

Git

PyTorch

TensorFlow

LLM APIs

OpenAI tooling

Hugging Face

NumPy

SciPy

pandas

xarray

scikit-learn

Education

Bachelor's degree in related field

PhD in a relevant field

Job description

The University of Chicago Research Computing Center (RCC) seeks a Computational Scientist to develop software for data acquisition, ingestion, and integration in multi‑institutional projects. You will design scalable back‑end services and user interfaces to accelerate scientific output and collaboration with faculty and researchers.

This hybrid position involves advising on RCC resources, HPC, AI, and cloud platforms; developing, profiling, and maintaining scientific software and workflows; and