Principal Nexus Capacity Engineer - AI-Driven Fleet

Google

Sunnyvale (CA)

On-site

USD 307,000 - 427,000

Full time

9 hours ago
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Benefits offered by this job

Health, dental, vision, life insurance
401(k) with company match
Paid time off
Sick time
Maternity leave
Baby bonding leave
13 paid holidays

Job summary

Google is seeking a Principal Software Engineer for Nexus Capacity Engineering to pioneer the architectural path for planet-scale capacity delivery. You will guide a high-impact full-stack team and influence across Hardware, Software, Supply Chain, and Product Management to optimize data-center capacity with ML, AI, and operations research.

The role focuses on scalable machine and infrastructure planning for Google’s data centers, delivering multi-year roadmaps and high-stakes architectural

Qualifications

  • Bachelor's degree in Computer Science or similar field 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 with a multi-year roadmap to deliver 10x more capacity using ML, compute and storage resources.
  • Partner across AI & Infrastructure to define a unified capacity management product suite for AI training and inference.
  • Integrate AI/ML, operations research, and optimization into capacity planning workflows to improve utilization.

Skills

Software engineering
Capacity planning
IaaS/PaaS
AI/ML infrastructure
Leadership

Education

Bachelor's degree in Computer Science
Master's or PhD (preferred)

Job description

Google is seeking a Principal Software Engineer for Nexus Capacity Engineering to pioneer the architectural path for planet-scale capacity delivery. You will guide a high-impact full-stack team and influence across Hardware, Software, Supply Chain, and Product Management to optimize data-center capacity with ML, AI, and operations research.

The role focuses on scalable machine and infrastructure planning for Google’s data centers, delivering multi-year roadmaps and high-stakes architectural

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