Google Cloud Platform is seeking a Customer Engineer for AI Infrastructure to serve as a technical expert and trusted advisor for customers implementing AI solutions. This role combines deep technical expertise in AI infrastructure with customer-facing responsibilities, focusing on GPUs, accelerators, and Google TPUs. The position requires 10 years of cloud native architecture experience and strong AI/ML background.
As a Customer Engineer, you'll help customers design, deploy, and optimize AI solutions using cutting-edge hardware and software. You'll work closely with Sales, Product Management, and Engineering teams to ensure customers maximize value from their AI investments. The role involves demonstrating Google Cloud's differentiated features, optimizing model performance, and conducting benchmarking.
The ideal candidate should have extensive experience with cloud infrastructure, machine learning model operationalization, and GPU programming. Knowledge of high-performance computing environments and experience with large model training are crucial. Strong communication and presentation skills are essential as you'll be interfacing with customers and influencing Google Cloud strategy.
This position offers the opportunity to work with cutting-edge AI technology while helping shape the future of cloud computing. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries. The role combines technical expertise with business impact, making it ideal for those passionate about both AI technology and customer success.