225 cloud-computing-"https:"-"https:"-"https:"-"https:"-"St" positions at Oak Ridge National Laboratory in United States
Sort by
Refine Your Search
-
Requisition Id 15600 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier
-
technical solutions with mission goals. Basic Qualifications: BS degree in computer science, information systems, or business. Minimum of 8 years of experience leading software development projects, with
-
Requisition Id 15517 Overview: 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
-
Requisition Id 15434 Overview: The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory (ORNL) is seeking qualified applicants for a Postdoctoral Research
-
Infrastructure group in the Research Computing division of the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Our goal, in Research IT Infrastructure, is to enable research
-
Requisition Id 15519 Overview: 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
-
, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and
-
Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC
-
technical customer engagements, including High Performance Computing, Cloud Computing, DevOps practices and Software Development. Collaborate with experts to anticipate and plan for emerging IT services
-
models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments