Customer Engineer, AI Infrastructure, Google Cloud

Google Cloud helps customers transform and build what's next for their business with cloud technology, focusing on security, reliability and scalability.
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 Platform is seeking a Customer Engineer specializing in AI Infrastructure to join their team. This role combines deep technical expertise in AI/ML with customer-facing responsibilities, focusing on helping customers optimize their AI solutions using cutting-edge hardware like GPUs, FPGAs, ASICs, and Google's TPUs. The position requires extensive experience in cloud infrastructure and AI, making it ideal for someone who can bridge the gap between complex technical solutions and business value.

The role involves working closely with customers to design, deploy, and optimize AI solutions while serving as a trusted technical advisor. You'll be responsible for demonstrating Google Cloud's differentiated features, conducting proof-of-concepts, and optimizing model performance. The position also includes influencing Google Cloud's strategy by advocating for enterprise customer requirements and building repeatable assets for broader team use.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to impact how businesses implement and scale their AI solutions. The role offers exposure to cutting-edge AI technologies and the chance to work with diverse customers across industries. You'll be part of Google Cloud's mission to accelerate digital transformation while working with some of the most advanced AI infrastructure available.

The ideal candidate will combine technical depth in AI/ML with strong communication skills, as the role requires both hands-on technical work and the ability to explain complex concepts to various stakeholders. You'll be at the forefront of AI infrastructure implementation, helping shape how businesses leverage Google Cloud's AI capabilities.

Last updated 9 minutes ago

Responsibilities For Customer Engineer, AI Infrastructure, Google Cloud

  • Serve as a trusted advisor to customers, helping them in understanding and incorporate AI accelerators into the overall cloud strategy
  • Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators
  • 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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