Computational Scientist: HPC & AI Specialist

The University Of Chicago; United States; On-site; USD 85,000 - 103,000; Full time

Job summary

The University of Chicago is seeking a Computational Scientist to develop software for data acquisition, ingestion, and integration in research projects. You will collaborate with faculty to advise on RCC resources, HPC systems, AI tech, and cloud platforms, and help scale scientific software and workflows on RCC systems.

The role involves optimizing performance across CPU/GPU architectures, contributing to grant proposals, and creating technical documentation.

Qualifications

• Minimum requirements include a college or university degree in related field.
• 2–5 years of work experience in a related job discipline.
• PhD in a relevant field preferred.

Responsibilities

• Develop and implement computational solutions to advance research.
• Advise on RCC resources, HPC systems, AI technologies, and cloud platforms.
• Support researchers’ use of AI/ML tools and model APIs on RCC systems.
• Develop, maintain, and optimize scientific software and workflows.
• Port and optimize applications for CPU, GPU, memory, storage, and I/O.

Skills

C++

Python

Linux/UNIX

HPC

Git

Education

PhD in a relevant field

Bachelor's degree in related field

Tools

Docker

Apptainer/Singularity

OpenAI APIs

HuggingFace

CUDA

Job description

The University of Chicago is seeking a Computational Scientist to develop software for data acquisition, ingestion, and integration in research projects. You will collaborate with faculty to advise on RCC resources, HPC systems, AI tech, and cloud platforms, and help scale scientific software and workflows on RCC systems.

The role involves optimizing performance across CPU/GPU architectures, contributing to grant proposals, and creating technical documentation.