Principal Engineer, Global Fleet & Capacity Optimization

Socket.dev; Thornton (CO); On-site; USD 307,000 - 427,000; Full time

Job summary

Google seeks a Principal Engineer, Resource Optimization and Fleet Logic, to own the architectural outlook for the global capacity planning ecosystem. You will lead end-to-end technical strategy for fleet optimization across data centers and ML/compute resources.

You will partner with AI and Infrastructure teams to deliver a unified product suite, orchestrate multi-year roadmaps, and drive optimization initiatives that improve capacity utilization at planetary scale.

Qualifications

• Bachelor's degree in Computer Science 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 the design and evolution of next generation global fleet planning with a multi-year engineering roadmap.
• Model, forecast, and dynamically reconfigure fleet resources across ML hardware, compute, power, cooling, and network topology.
• Partner to define a unified capacity management product suite for AI training and inference.
• Integrate AI/ML, operations research, and optimization into capacity planning to maximize data center utilization.
• Collaborate with academic and industry partners to anticipate technology trends.

Skills

Software engineering

Large-scale capacity planning

IaaS/PaaS

Fleet management systems

Communication skills

Influencing without authority

Education

Bachelor's degree in Computer Science or equivalent practical experience

Job description

Google seeks a Principal Engineer, Resource Optimization and Fleet Logic, to own the architectural outlook for the global capacity planning ecosystem. You will lead end-to-end technical strategy for fleet optimization across data centers and ML/compute resources.

You will partner with AI and Infrastructure teams to deliver a unified product suite, orchestrate multi-year roadmaps, and drive optimization initiatives that improve capacity utilization at planetary scale.