Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud helps organizations digitally transform their business, delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.
$150,000 - $300,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

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 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.

Last updated 6 days 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
  • Responsible for business growth and workload acceleration on AI infrastructure products and solutions

Requirements For Customer Engineer, AI Infrastructure, Google Cloud

Python
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
  • Experience building and operationalizing machine learning models
  • Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques
  • Experience with high-performance computing (HPC) environments
  • Experience training and fine-tuning large models
  • Experience with performance profiling tools
  • Excellent communication, presentation, and teamwork skills

Benefits For Customer Engineer, AI Infrastructure, Google Cloud

Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Equal opportunity employer
  • Accommodation for special needs
  • Global work environment

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