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Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.
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 an experienced Customer Engineer specializing in AI Infrastructure to join their team. This role combines deep technical expertise in machine learning infrastructure with customer-facing responsibilities. The ideal candidate will serve as a technical expert and trusted advisor, helping customers design, deploy, and optimize AI solutions using cutting-edge hardware including GPUs, FPGAs, ASICs, and Google's custom TPUs.

The position requires extensive experience in cloud infrastructure and AI, with a focus on high-performance computing environments and machine learning model optimization. You'll work at the intersection of infrastructure and AI/ML, helping customers leverage Google Cloud's advanced capabilities while influencing product strategy based on enterprise needs.

Key responsibilities include architecting AI infrastructure solutions, conducting proof-of-concepts, optimizing model performance, and building repeatable assets. You'll collaborate closely with sales, product management, and engineering teams to ensure customers maximize value from their AI investments.

This role offers an opportunity to work with Google's cutting-edge AI technology while helping shape the future of cloud computing. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in Singapore to implement innovative AI solutions.

The ideal candidate combines strong technical skills in machine learning and infrastructure with excellent communication abilities, as you'll be regularly presenting to and advising customers on complex technical solutions. This is a chance to impact the adoption of AI technology while working with industry-leading cloud infrastructure.

Last updated 18 hours ago

Responsibilities For Customer Engineer, AI Infrastructure, Google Cloud

  • Serve as a trusted advisor to customers, helping them understand and incorporate AI accelerators into cloud strategy
  • Demonstrate Google Cloud differentiation through proof-of-concepts 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
  • Lead business and workload acceleration on AI Infrastructure products and solutions for GCP

Requirements For Customer Engineer, AI Infrastructure, Google Cloud

Python
  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
  • 10 years of experience with cloud infrastructure
  • 5 years of experience in a technical role focused on AI infrastructure or related areas
  • Experience building and operationalizing machine learning models
  • Experience with GPU programming (CUDA, OpenCL) and optimization techniques

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