Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
. Work on deployment/infrastructure: virtualization, networks, security, system integration. Establish system architecture and infrastructure design: servers, network, storage, compute, security (including
-
that promote efficient, coherent, and maintainable software and computing workflows. Lead by example through hands-on technical contributions, offering architectural guidance, reviewing designs, and mentoring
-
Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
-
workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science
-
, Computer Science, or closely related field Sound understanding of advanced ML concepts and architectures and hands-on experience with open-source AI/ML packages (such as PyTorch, scikit-learn, TensorFlow
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information
-
that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
-
Requisition Id 15602 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
-
. This framework will connect architecture, governance, and value creation—laying the foundation for ORNL’s vision and mission, including readiness for emerging missions such as fusion energy systems and autonomous
-
are especially interested in candidates with strong technical expertise in AI architecture design (e.g., Vision Transformers, foundation models, and federated learning), scalable computing on leadership-class