Customer Engineer, AI Infrastructure

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$147,000 - $218,000
Machine Learning
Staff 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 team. This role represents a unique opportunity to work at the intersection of cloud computing and artificial intelligence, helping leading organizations leverage Google's cutting-edge technology.

The position requires a seasoned professional with 7 years of cloud infrastructure experience and deep expertise in machine learning operations. As a Customer Engineer, you'll serve as a trusted technical advisor to Google Cloud's top customers, helping them understand and implement AI accelerators within their cloud strategy. You'll work closely with technical sales teams, bringing your subject matter expertise in AI/ML to demonstrate Google Cloud's distinctive capabilities.

Your responsibilities will span from conducting technical presentations and leading discovery sessions to hands-on work with POCs, model performance optimization, and benchmarking. The role demands both technical depth - including experience with large-scale infrastructure design, model training, and containerization - and the ability to engage effectively with executive leadership.

This is an excellent opportunity for someone who combines technical expertise with strong communication skills and a consultative approach. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and contributing to the evolution of cloud and AI solutions. The role offers competitive compensation ($147,000-$218,000 + bonus + equity) and comprehensive benefits, reflecting the position's strategic importance.

The position offers flexibility in location, with opportunities across major tech hubs in the United States, including Seattle, San Francisco, New York, and other major cities. You'll be part of a global organization that values diversity, equality, and inclusion, working in an environment that fosters innovation and technical excellence.

Last updated a day 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
  • Experience designing/architecting large-scale infrastructure farms for specialist AI use cases
  • Experience training and fine tuning large models
  • Experience with containerization and Kubernetes on cloud
  • Experience with MLPerf benchmarks
  • Experience with performance profiling tools
  • Ability to engage with C-level or executive business leaders

Benefits For Customer Engineer, AI Infrastructure

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

Interested in this job?

Jobs Related To Google Customer Engineer, AI Infrastructure

Senior Research Scientist, Google Cloud AI

Senior Research Scientist position at Google Cloud AI, focusing on advanced AI research and development with competitive compensation and opportunities for publication.

Senior Technical Program Manager I, Machine Learning, Google Cloud Platforms

Senior Technical Program Manager position at Google Cloud, focusing on Machine Learning initiatives, requiring 8 years of experience in program management and ML.

Staff Research Scientist, Google Cloud AI

Staff Research Scientist position at Google Cloud AI, focusing on advanced AI research and implementation with competitive compensation and opportunity to impact multiple industries.

Senior Product Manager, On-Device Machine Learning, Developer Pillar

Senior Product Manager role at Google focusing on On-Device Machine Learning, leading development of ML tools and infrastructure for developers worldwide.

Senior Technical Program Manager II, Machine Learning, Google Cloud

Senior Technical Program Manager role at Google Cloud leading machine learning initiatives and complex cross-functional projects.