Customer Engineer, AI Infrastructure Modernization TPU, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree in computer science, mathematics, a related technical field, or equivalent practical experience. - 10 years of experience with cloud native architectures and modern cloud infrastructure with networking (e.g., switching/routing for ethernet/RoCE/infiniband) in customer-facing or support roles. - Experience developing and deploying models using deep learning frameworks (e.g., TensorFlow, PyTorch, or JAX). Preferred qualifications: - Master's degree in computer science, mathematics, or a related technical field. - Experience as an IT infrastructure consultant or enterprise architect working in data center investment strategies and proposals. - Experience with AI Infrastructure systems, networking technologies (e.g., DPU, RoCE, InfiniBand), cooling, and accelerators, GPUs and TPUs. - Experience in leveraging main AI and software stacks and platforms to bring up and deploy AI compute clusters. - Knowledge of the AI infrastructure market, including main technology providers, differentiators and trends. - Ability to work and grow in fluid environments. About the job: When leading companies choose Google Cloud, it's a huge win for spreading the p...