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 is seeking a Customer Engineer specializing in AI Infrastructure to join their dynamic team. This role combines deep technical expertise in AI/ML with customer-facing responsibilities, making it perfect for those who excel at both technical implementation and business strategy. As a trusted advisor, you'll help customers leverage Google Cloud's cutting-edge AI accelerators and infrastructure, including GPUs, FPGAs, ASICs, and Google TPUs.

The position requires a strong background in cloud native architecture, AI infrastructure, and machine learning operations. You'll work at the intersection of infrastructure and AI/ML, helping customers optimize their AI solutions while driving business growth. Your responsibilities will include conducting proof-of-concepts, performance optimization, and benchmarking to demonstrate Google Cloud's competitive advantages.

This role offers the opportunity to influence Google Cloud's strategy by advocating for enterprise customer requirements. You'll work closely with Sales, Product Management, and Engineering teams, ensuring customers maximize value from their AI investments. The ideal candidate combines technical depth in areas like GPU programming and distributed training with excellent communication and presentation skills.

Working at Google Cloud means being part of a team that's transforming how businesses operate through technology. You'll have access to Google's cutting-edge resources and be part of a company known for innovation in AI and cloud computing. The role offers the chance to work with diverse, global customers and contribute to solving critical business challenges using advanced technology.

If you're passionate about AI infrastructure, enjoy customer interaction, and want to be at the forefront of cloud technology, this role offers an exciting opportunity to make a significant impact in the field of enterprise AI adoption.

Last updated 5 minutes ago

Responsibilities For Customer Engineer, AI Infrastructure, Google Cloud

  • Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their cloud strategy
  • Demonstrate Google Cloud differentiation through proof-of-concepts, feature demonstrations, and performance optimization
  • Influence Google Cloud strategy at the intersection of infrastructure and AI/ML
  • Travel to customer sites and events as needed
  • Be responsible for business growth and workload acceleration on AI infrastructure products

Requirements For Customer Engineer, AI Infrastructure, Google Cloud

Python
Linux
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
  • Comprehensive health coverage
  • Parental leave benefits
  • Equal employment opportunity
  • Accommodation for special needs

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