Customer Engineer, AI Infrastructure

Google Cloud delivers enterprise-grade solutions leveraging cutting-edge technology, helping organizations digitally transform across 200+ countries.
$142,000 - $214,000
Machine Learning
Senior Software Engineer
In-Person
5000+ Employees
7+ years of experience
AI · Enterprise SaaS · Cloud

Description For Customer Engineer, AI Infrastructure

Google Cloud is seeking a Customer Engineer specializing in AI Infrastructure to join their technical sales team. This role combines deep technical expertise in machine learning and cloud infrastructure with customer-facing responsibilities. The position offers a competitive base salary range of $142,000-$214,000, plus bonus, equity, and comprehensive benefits.

As a Customer Engineer, you'll serve as a crucial bridge between Google Cloud and enterprise customers, helping them leverage AI accelerators and cloud solutions effectively. You'll work with technical sales teams to showcase Google Cloud's capabilities, develop creative solutions, and guide customers through their cloud transformation journey. The role requires extensive experience in cloud infrastructure and machine learning, including hands-on experience with model training, containerization, and performance optimization.

The ideal candidate will bring 7+ years of cloud infrastructure experience, strong technical presentation skills, and the ability to influence C-level executives. You'll be working with cutting-edge AI technology, helping organizations across various industries implement and optimize their machine learning workflows. The position offers the opportunity to impact Google Cloud's strategy while working with some of the most sophisticated cloud and AI implementations globally.

This role is perfect for someone who combines technical depth with customer-facing skills, enjoys solving complex problems, and wants to work at the forefront of cloud and AI technology. You'll be part of a diverse team at Google, working in an environment that values respect, inclusion, and equal opportunities to succeed. The position includes opportunities for travel to customer sites and events, allowing you to directly engage with clients and industry leaders.

Working at Google Cloud means you'll be part of a team that helps organizations in more than 200 countries transform their businesses through technology. You'll have access to Google's cutting-edge technology and tools, working alongside talented colleagues to solve critical business challenges for customers across various industries.

Last updated 6 minutes ago

Responsibilities For Customer Engineer, AI Infrastructure

  • Be a trusted advisor to top customers on AI accelerators and cloud strategy
  • Demonstrate Google Cloud differentiation through POCs and performance optimization
  • Build repeatable assets for customers and internal teams
  • Influence Google Cloud strategy at the intersection of infrastructure and AI/ML
  • Travel to customer sites and events as needed

Requirements For Customer Engineer, AI Infrastructure

Kubernetes
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 7 years of experience with cloud infrastructure
  • Experience building and operationalizing machine learning models
  • Experience in delivering technical presentations and leading discovery sessions
  • Experience designing/architecting large-scale infrastructure for AI use cases
  • Experience with containerization and Kubernetes on cloud
  • Experience with MLPerf benchmarks
  • Experience with performance profiling tools
  • Ability to engage with C-level executives

Benefits For Customer Engineer, AI Infrastructure

Medical Insurance
Dental Insurance
Vision Insurance
  • Bonus
  • Equity
  • Benefits package

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