Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud delivers enterprise-grade solutions leveraging cutting-edge technology for digital transformation.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Customer Engineer, AI Infrastructure, Google Cloud

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.

Last updated 3 months ago

Responsibilities For Customer Engineer, AI Infrastructure, Google Cloud

  • Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy
  • Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators
  • Influence Google Cloud strategy at the intersection of infrastructure and AI/ML
  • Travel to customer sites and events as needed
  • Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP

Requirements For Customer Engineer, AI Infrastructure, Google Cloud

Python
Linux
Kubernetes
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 10 years of experience with cloud native architecture in a customer-facing or support role
  • 5 years of experience with cloud infrastructure
  • 5 years of experience in a technical role focused on AI infrastructure or related areas
  • Experience building and operationalizing machine learning models
  • Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques

Benefits For Customer Engineer, AI Infrastructure, Google Cloud

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Equal employment opportunity
  • Inclusive work culture
  • Comprehensive health benefits
  • Parental leave
  • Accommodation for special needs

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