AI-Driven Scientific Data Services Engineer for HPC

Argonne National Laboratory; Lemont (IL); On-site; USD 94,000 - 147,000; Full time

Job summary

Argonne National Laboratory looks for a data services engineer to enable AI for science by exposing vast scientific data and building user-friendly interfaces for data discovery and access through high-performance APIs.

You will work with scientists, deploy data services in HPC/Kubernetes environments, and optimize performance while ensuring secure, multi-user access and alignment with Argonne’s core values of impact, safety, respect, integrity and teamwork.

Qualifications

• Bachelor's degree and 5+ years of experience (or equivalent).
• Proficiency in Python or C/C++.
• Experience with data management frameworks and deployment in Kubernetes or HPC.
• Strong software development and version control skills (Git).
• Excellent written and oral communication; team oriented and values-aligned.

Responsibilities

• Collaborate with science teams and external partners to enable AI-driven science via data services.
• Expose terabytes to petabytes of data to users and AI models through web apps and APIs.
• Support data ingestion, indexing, and search for diverse data sources.

Skills

Python

C/C++

OpenMetadata

Kubernetes

HPC

Git

Team collaboration

Communication

Value alignment

Education

Bachelor's degree

MS/PhD preferred

Tools

OpenMetadata

Kubernetes

Git

Job description

Argonne National Laboratory looks for a data services engineer to enable AI for science by exposing vast scientific data and building user-friendly interfaces for data discovery and access through high-performance APIs.

You will work with scientists, deploy data services in HPC/Kubernetes environments, and optimize performance while ensuring secure, multi-user access and alignment with Argonne’s core values of impact, safety, respect, integrity and teamwork.