Staff Software Engineer at Google Cloud Storage, focusing on building and optimizing storage solutions for AI/ML workloads, bridging core storage infrastructure with the demands of training and inference.

This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware.