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The role involves designing and optimizing GPU architectures for AI Inference, analyzing hardware-software relationships, and developing performance models.

Verify the design and implementation of inference accelerators using advanced methodologies, collaborating with architects and optimizing verification flows.

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.