Nexus Capacity Engineer: Lead Global Fleet & AI Scaling

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

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Maternity leave

Holidays

Sick time

Job summary

Google LLC is seeking a Principal Engineer for Nexus Capacity Engineering to lead the vision and execution of planet-scale capacity delivery. You will drive capacity planning across teams, leveraging AI/ML and operations research to optimize data center utilization and cycle times.

You will mentor a high-impact team and collaborate with Hardware, Software, Supply Chain, and Product Management to realize scalable, efficient capacity solutions for internal and external AI/ML customers.

Qualifications

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

Responsibilities

• Lead design and evolution of global fleet planning, defining a multi-year engineering roadmap to deliver capacity with ML/AI integration.
• Partner across AI & Infrastructure to define a unified capacity management product suite for AI training and inference.
• Integrate cutting-edge AI/ML, operations research, and optimization into capacity planning workflows to improve data center utilization.
• Guide a high-impact full-stack team through technical challenges toward scalable capacity delivery.

Skills

Large-scale capacity planning

IaaS/PaaS

AI/ML infrastructure

Leadership without authority

Education

Bachelor's degree in Computer Science or related field

Master's or PhD (preferred)

Job description

Google LLC is seeking a Principal Engineer for Nexus Capacity Engineering to lead the vision and execution of planet-scale capacity delivery. You will drive capacity planning across teams, leveraging AI/ML and operations research to optimize data center utilization and cycle times.

You will mentor a high-impact team and collaborate with Hardware, Software, Supply Chain, and Product Management to realize scalable, efficient capacity solutions for internal and external AI/ML customers.