Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud is seeking a Customer Engineer specializing in AI Infrastructure to join their team. This role combines deep technical expertise in AI/ML with customer-facing responsibilities, making it ideal for someone who can bridge complex technical concepts with business value. The position involves working with cutting-edge AI accelerator hardware including GPUs, FPGAs, ASICs, and Google's custom TPUs.

As a Customer Engineer, you'll serve as a trusted technical advisor to Google Cloud customers, helping them design, implement, and optimize their AI infrastructure solutions. You'll work at the intersection of cloud infrastructure and artificial intelligence, requiring both broad technical knowledge and specialized expertise in AI systems and hardware acceleration.

The role demands a strong background in cloud infrastructure (10+ years) and AI infrastructure (5+ years), with hands-on experience in machine learning operations, GPU programming, and performance optimization. You'll be responsible for demonstrating Google Cloud's technical capabilities, conducting proof-of-concepts, and helping customers achieve maximum value from their AI investments.

This position offers the opportunity to influence Google Cloud's strategy by advocating for enterprise customer requirements and contributing to the platform's evolution. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and contributing to the growth of Google's AI infrastructure business.

The ideal candidate combines technical depth with excellent communication skills, as you'll be working closely with sales teams, product management, and engineering while serving as the primary technical point of contact for customers. This role offers the chance to work on challenging technical problems while having a direct impact on customer success and Google Cloud's growth in the AI infrastructure space.