Research Scientist: Agentic Workflows & HPC Orchestration

UT-Battelle; Oak Ridge (TN); Híbrido; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

UT-Battelle at Oak Ridge National Laboratory seeks a Research Scientist to design and deploy agentic workflows and provenance systems bridging leadership computing, instruments, and cloud platforms. You will collaborate with scientists and DOE partners to enable scalable, automated scientific computing across heterogeneous environments.

The role involves leading cross‑facility initiatives, architecting deployment patterns, and advancing open‑source software in a cutting‑edge computational

Qualificações

• PhD required or related field with strong experimental background.
• 3+ years designing or operating distributed systems, provenance frameworks, or workflow orchestration.
• 2+ years designing agentic workflows.
• 2+ years programming in Python; Bash or C/C++ familiarity.

Responsabilidades

• Lead research and development of runtime data integration and provenance capture for distributed workflows.
• Serve as ORNL technical lead for cross-facility initiatives spanning leadership computing and cloud platforms.
• Design reference architectures for orchestration, data management, and security across platforms.
• Design agentic workflow architectures enabling autonomous experimentation across HPC and facilities.
• Own open-source software direction, CI/CD, testing, and release management.

Conhecimentos

Distributed systems design

Provenance frameworks

Agentic workflows

Python programming

Linux HPC environments

Technical communication

Formação académica

PhD in Computer Science/Computer Engineering or closely related field

Ferramentas

Flowcept

OPAL

Descrição da oferta de emprego

UT-Battelle at Oak Ridge National Laboratory seeks a Research Scientist to design and deploy agentic workflows and provenance systems bridging leadership computing, instruments, and cloud platforms. You will collaborate with scientists and DOE partners to enable scalable, automated scientific computing across heterogeneous environments.

The role involves leading cross‑facility initiatives, architecting deployment patterns, and advancing open‑source software in a cutting‑edge computational