Climate AI/ML Engineer for HPC & GPUs

University of Chicago; Chicago (IL); Hybrid; USD 85,000 - 105,000; Full time

Job summary

The University of Chicago RCC seeks a Computational Scientist – AI/ML Engineer to advance AI-driven climate research. You will design, train, and deploy AI models on HPC and GPU systems, collaborating with faculty and students across institutions.

You will work on scalable data pipelines, climate science applications, and performance optimization, with hybrid onsite presence required.

Qualifications

• PhD or equivalent research experience in AI/ML or computational science.
• 2–5 years of related research or professional experience.
• Strong programming in Python and/or C++.

Responsibilities

• Develop AI/ML workflows and scalable NVIDIA GPU-accelerated pipelines.
• Collaborate with researchers to translate scientific goals into compute solutions.
• Deploy and optimize AI/ML training and inference on HPC systems.
• Maintain and evolve scientific software environments and data workflows.

Skills

Python

C++

PyTorch

TensorFlow

Linux/UNIX

SLURM

HPC

Docker

Git

NumPy/SciPy

Education

PhD in Computer Science / AI / Earth System Science or related field

Bachelor's degree in related field

Tools

Git

Docker

SLURM

HPC environments

NetCDF/HDF5

Job description

The University of Chicago RCC seeks a Computational Scientist – AI/ML Engineer to advance AI-driven climate research. You will design, train, and deploy AI models on HPC and GPU systems, collaborating with faculty and students across institutions.

You will work on scalable data pipelines, climate science applications, and performance optimization, with hybrid onsite presence required.