368 computer-architecture-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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the Genesis Mission, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for Computational
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for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our
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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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for situational awareness, dynamic modeling, and control decisions. Design reliable timing and synchronization architectures to ensure distributed grid-edge and substation measurements are time consistent and model
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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the nation. Major Duties/Responsibilities: Design and govern geospatial data architecture: Define scalable data models, storage patterns (e.g., Parquet/GeoParquet in object stores), and overall lakehouse
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Requisition Id 16618 Overview: We are seeking a highly motivated Research Engineer who will support agentic AI workflows, AI infrastructure architectures, and AI-native applications for critical
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systems and subsystems, including the interfaces between those systems and specific High Performance Computing platforms. This role includes providing technical and field oversight for construction on a new
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a