Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging cutting-edge technology across 200+ countries.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud
This job posting may no longer be active. You may be interested in these related jobs instead:
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.

Description For Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud Platform is seeking a Customer Engineer specializing in AI Infrastructure to join their team in Singapore. This role represents a unique opportunity to work at the intersection of cloud computing and artificial intelligence, helping shape the future of enterprise technology.

As a Customer Engineer, you'll serve as a technical expert and trusted advisor for Google Cloud customers, focusing on AI infrastructure solutions. Your expertise will span cutting-edge hardware including GPUs, FPGAs, ASICs, and Google's proprietary Tensor Processing Units (TPUs). This role requires deep technical knowledge combined with strong customer-facing skills to help organizations maximize their AI investments.

The position demands extensive experience in cloud infrastructure (10+ years) and AI infrastructure (5+ years), with particular emphasis on machine learning operations, GPU programming, and high-performance computing. You'll be working with state-of-the-art technology, helping customers design, deploy, and optimize their AI solutions while contributing to Google Cloud's strategic direction.

This role offers the opportunity to work with Google's cutting-edge technology stack and influence the future of AI infrastructure. You'll be part of a team that serves customers across 200+ countries, helping them solve their most critical business problems through innovative cloud solutions. The position combines technical expertise with business impact, as you'll be responsible for scaling and accelerating GCP AI Infrastructure business growth.

For the right candidate, this role offers the chance to work at the forefront of AI and cloud technology, with opportunities to influence both customer success and product direction. You'll be part of Google's mission to accelerate digital transformation across industries while working with some of the most advanced technology in the field.

Last updated 3 months 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, 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
  • 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
  • Experience with high-performance computing (HPC) environments
  • Experience training and fine-tuning large models
  • Experience with performance profiling tools
  • Experience designing/architecting large-scale infrastructure farms for AI use cases
  • Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs
  • Excellent communication and presentation skills

Interested in this job?