Lead Architect, Global Capacity & Fleet Optimization

Google; Sunnyvale (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google is seeking a Principal Engineer, Resource Optimization and Fleet Logic, to own the architectural outlook for our planetary-scale capacity planning ecosystem. You will lead end-to-end technical strategy for data center capacity planning, placement, and fleet reconfiguration to meet ML, compute, and storage demand.

The role requires exceptional ability to articulate complex concepts to engineers and executives, and to influence cross-functional teams across Hardware, Software, Supply Chain,

Qualifications

• Bachelor's degree in Computer Science or similar technical field or equivalent practical experience.
• 15 years of experience as a software engineer.
• Experience delivering large-scale capacity planning, IaaS/PaaS solutions, or fleet management systems.

Responsibilities

• Lead design and evolution of global fleet planning with a multi-year engineering roadmap to deliver 10x more data center capacity.
• Model, forecast, and reconfigure fleet resources across ML hardware, compute, power, cooling and networks.
• Define a unified capacity management product suite for AI training and inference for internal and external customers.
• Integrate AI/ML, operations research, and optimization into capacity planning to reduce cycles and maximize utilization.
• Collaborate with academic and industry partners to anticipate technology trends.

Skills

Capacity planning

IaaS/PaaS

Fleet management

Optimization

ML infrastructure

Cross-functional leadership

Communication

Architectural leadership

Education

Bachelor's degree in CS or equivalent

Master's or PhD in CS or related field

Job description

Google is seeking a Principal Engineer, Resource Optimization and Fleet Logic, to own the architectural outlook for our planetary-scale capacity planning ecosystem. You will lead end-to-end technical strategy for data center capacity planning, placement, and fleet reconfiguration to meet ML, compute, and storage demand.

The role requires exceptional ability to articulate complex concepts to engineers and executives, and to influence cross-functional teams across Hardware, Software, Supply Chain,