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Field
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embodied learning. The successful candidate will take a leading role in the design, deployment, maintenance, and optimisation of large-scale HPC systems, including CPU and GPU clusters, high
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will bridge the gap between high-performancehardware, cloud services, and practical user applications, ensuring that our AI platforms, from on-premises GPU clusters and sovereign data sandboxes to cloud
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) services, AI agent orchestration platforms and GPU-enabled AI infrastructure. Responsibilities: Platform operations and reliability Own day-to-day operations of SEA-LION API Farm, our multi-cloud LLM
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, filesystem performance, networking, and GPU utilization. Help maintain reproducible training recipes, configuration files, launch scripts, and documentation. Work with researchers and CSCS engineers to
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research computing facilities, including GPU, server and specialised research equipment. Ensure the operational readiness, reliability and effective functioning of laboratory and research computing
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entwickelt und betreibt das PTC Forschungsinfrastruktur für wissenschaftliche Arbeiten unter kontrollierten Umweltbedingungen und im Freiland. In der Greenhouses & Phytochambers Unit (GPU) betreuen
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collaborative technical environment responsible for operating and developing a research infrastructure comprising CPU- and GPU-based HPC systems, petabyte-scale storage, scientific web services, secure
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 14 days ago
model associating distributed parallelism, multicore parallelism, and accelerator parallelism to enable high performance pipeline runs of the software on GPU-based supercomputing architectures
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classified national security and scientific missions. Architect scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure
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frameworks (FISMA, NIST, FIPS). Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies. Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA