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Kubernetes, and GPU infrastructure; (f) have a good command in both written and spoken English and Chinese; and (g) have good communication skills. Preference will be given to those with experience in
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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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Language Model (LLM) training platform, developing unified capabilities for GPU resource pooling, training job scheduling, inference acceleration and the Machine Learning Operations (MLOps) platform
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skills, with the ability to translate complex AI concepts into accessible solutions for diverse stakeholders; (f) possess knowledge of Graphics Processing Units (GPUs) and Neural Processing Units (NPUs