Hybrid AI for Science Data Services Engineer

Argonne National Laboratory; United States; Hybrid; USD 94,000 - 147,000; Full time

Job summary

Argonne National Laboratory is seeking a Data Services Engineer to enable AI for science by designing data ingestion, indexing and search for terabytes to petabytes of scientific data. You will work with the Data Services and Workflows group to expose data to users and AI models through web apps and high-performance APIs.

The role emphasizes collaboration with science teams, academia, and industry in a hybrid remote/on-site setting, typically with substantial time remote.

Qualifications

• Degree in computer science, computational science, physical science, engineering or related field.
• Proficiency in Python and C/C++ with software development experience.
• Experience with data management frameworks and deployment in diverse environments.

Responsibilities

• Engineer data services to expose terabytes to petabytes of data to users and AI models.
• Develop workflows combining data, simulations, analysis and AI.
• Collaborate with science teams and external partners to meet project goals.

Skills

Python

C/C++

OpenMetadata

Kubernetes

HPC

Git

Communication

Collaboration

Software design

Education

Bachelor's in CS/Computing/Engineering

MS or PhD preferred

Tools

Git

Kubernetes

OpenMetadata

Job description

Argonne National Laboratory is seeking a Data Services Engineer to enable AI for science by designing data ingestion, indexing and search for terabytes to petabytes of scientific data. You will work with the Data Services and Workflows group to expose data to users and AI models through web apps and high-performance APIs.

The role emphasizes collaboration with science teams, academia, and industry in a hybrid remote/on-site setting, typically with substantial time remote.