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
5,000+ 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 work at the intersection of Google Cloud's cutting-edge AI technology and enterprise customer needs. You'll be responsible for helping organizations understand and implement AI accelerators, optimize their machine learning workflows, and maximize the value they get from Google Cloud's infrastructure. This role requires both technical depth in areas like model training, containerization, and performance optimization, as well as the ability to communicate effectively with C-level executives.

The ideal candidate brings 7+ years of cloud infrastructure experience, with specific expertise in building and operationalizing machine learning models. You'll need to be comfortable with technologies like Kubernetes, various ML frameworks, and performance profiling tools. The role involves a mix of technical advisory work, proof-of-concept development, and strategic input into Google Cloud's product direction.

This position offers the opportunity to work with Google's diverse team in an inclusive environment, contributing to the digital transformation of organizations across 200+ countries. You'll be part of Google Cloud's mission to accelerate every organization's ability to leverage cutting-edge technology for business transformation. The role includes travel requirements and the flexibility to work from various major US tech hubs.

Working at Google comes with comprehensive benefits, opportunities for growth, and the chance to influence the future of cloud and AI technology. You'll be at the forefront of helping enterprises adopt and optimize AI solutions, while building repeatable assets that scale your impact across the organization.

Last updated an hour ago

Responsibilities For Customer Engineer, AI Infrastructure

  • Be a trusted advisor to top customers, helping them understand and incorporate AI accelerators
  • Demonstrate Google Cloud differentiation through POCs, feature demonstrations, and performance optimization
  • Build repeatable assets to enable other 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
Python
  • 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 performance profiling tools

Benefits For Customer Engineer, AI Infrastructure

Medical Insurance
Equity
  • Bonus
  • Equity
  • Benefits package

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