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UT-Battelle's NCCS at ORNL seeks a Research Software Engineer to develop federated data platforms and persistent services on on-prem Kubernetes clusters, supporting AI/ML campaigns and data lifecycles from ingestion to publication.
You will implement deployment recipes, RESTful portals, and ML deployment workflows, collaborate with Platform engineers, and contribute to security, RBAC, and reliability across OLCF compute infrastructure.
The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking highly qualified individuals to play a key role in developing, and deploying data management tools and persistent services that support scientific and AI/ML campaigns that run on NCCS computing infrastructure, including the world’s first exaflop system, Frontier.
Requisition Id 16231
As a Research Software Engineer (RSE) in the Data and Platform Services (DAPS) group, you will work within the HPC Operations Section and closely collaborate with other Lead Software Engineers on various software engineering projects. The DAPS group designs and operates data management platforms, tools, and services for the end-to-end data lifecycle from ingestion to publication and supports several large initiatives and facilities at ORNL. Our primary development and deployment platform is the Oak Ridge Leadership Computing Facility (OLCF) Slate Service, built on Kubernetes and Rancher, which provides a container orchestration service for running critical operation applications and user-managed persistent applications that run alongside our OLCF supercomputer systems and other OLCF managed HPC clusters.
As a Research Software Engineer, you will implement, operate, and maintain federated data platforms, data management portals, data processing pipelines, API gateways, and persistent services for the entire data lifecycle on our on-premises Kubernetes clusters, with a strong focus on scalability, reliability, and maintainability. You will also assist with AI initiatives at OLCF, integrate key data engineering and MLOps technologies, be an individual contributor for small-medium sized projects, and collaborate with Platform engineers in delivering a robust set of production services for OLCF users. This role requires: significant experience with full stack application and API development, working knowledge of Kubernetes and containerization. Knowledge of current AI/ML tools and workflows is preferred but not required.
Application Development and Deployment
Collaboration
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.