Customer Engineer, AI Infrastructure

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$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 team. This role combines technical expertise in cloud computing and artificial intelligence with customer-facing responsibilities. The position offers a competitive salary range of $142,000-$214,000 plus bonus, equity, and comprehensive benefits.

As a Customer Engineer, you'll work at the intersection of Google Cloud's cutting-edge technology and enterprise customer needs. Your primary responsibility will be partnering with technical Sales teams as an AI/ML subject matter expert, helping customers understand and implement Google Cloud solutions. You'll be instrumental in demonstrating the platform's capabilities through proofs of concept, performance optimization, and technical problem-solving.

The ideal candidate brings 7 years of cloud infrastructure experience and deep knowledge of machine learning operations. You'll need strong technical presentation skills and the ability to communicate effectively with C-level executives. Key technical requirements include experience with Kubernetes, large-scale AI infrastructure architecture, and performance profiling tools.

This role offers the opportunity to influence Google Cloud's strategy while working with top-tier customers. You'll be part of a diverse team in an inclusive environment, contributing to Google Cloud's mission of accelerating digital transformation across industries. The position includes travel requirements to customer sites and events, allowing you to directly impact how organizations leverage Google's AI capabilities.

Working at Google means joining a company that's at the forefront of cloud and AI innovation, with the chance to shape how enterprises adopt and implement these technologies. The role combines technical depth with strategic impact, making it ideal for those who want to bridge the gap between cutting-edge technology and business value.

Last updated 4 days 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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