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: Saudi Arabia Company: King Abdullah University of Science & Technology Position Summary Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute
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pipelines for text processing, dataset preparation and model training. Familiarity with distributed training concepts, GPU-based training, checkpointing, experiment tracking, training stability and compute
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an annual basis. This position will work within Research Computing to architect advanced computing, GPU-enabled environments and serve as a specialized partner to researchers to develop AI/ML research
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, transparent, and responsible use of AI in line with best practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU
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workflows on GPU-accelerated leadership-class and exascale computing systems. Develop methods for automating large-scale modeling and simulation campaigns, including agentic AI and scientific workflow
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research data; and optimize GPU/HPC resource allocation to balance performance, cost, and efficiency as models and tooling rapidly evolve. This person builds the shared AI architecture, secure
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researcher Are you excited to help find and assess the most promising habitable exoplanets around solar-like magnetically active stars? Join us to build next‑generation GPU‑accelerated models of stellar
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research data; and optimize GPU/HPC resource allocation to balance performance, cost, and efficiency as models and tooling rapidly evolve. This person builds the shared AI architecture, secure
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a GPU-dense public cluster to a geo-distributed HA setup across three Brno sites), petabytes of fast storage, and the freedom to decide where it all goes next. What actually runs here We're a
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, Hugging Face), including on GPU clusters Experience with interpretability methods (feature attribution, probing, activation patching, sparse autoencoders) and/or with building evaluation datasets