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, including GPUs, FPGAs, ASICs, and Google TPUs, with customer-facing responsibilities. The ideal candidate will have 10+ years of experience with cloud native architecture and strong background in AI/ML infrastructure.
As a Customer Engineer, you'll work at the intersection of sales, product management, and engineering, helping customers design, deploy, and optimize their AI solutions. You'll be responsible for demonstrating Google Cloud's differentiated value proposition through proof-of-concepts, performance optimization, and benchmarking. The role requires expertise in cloud infrastructure, machine learning operations, and GPU programming.
The position offers the opportunity to shape the future of Google Cloud's AI infrastructure strategy while working with cutting-edge technology. 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 depth with customer advisory, requiring excellent communication skills and the ability to translate complex technical concepts into business value.
Key responsibilities include architecting AI solutions, optimizing model performance, conducting benchmarks, and driving business growth for GCP's AI infrastructure products. You'll need to stay current with the latest developments in AI/ML infrastructure while maintaining strong customer relationships and contributing to Google Cloud's market leadership in enterprise AI solutions.