Principal Engineer, Resource Optimization and Fleet Logic

Google; Austin (TX); 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 and end-to-end strategy for its planetary-scale capacity planning ecosystem. You will be the primary technical authority for planning constraints, optimization scenarios, and deployment workflows to maximize data center utilization.

You will lead a multi-year architectural path for data center capacity planning, placement, supply planning, and fleet reconfiguration for ML, compute, and

Qualifications

• Bachelor's degree in Computer Science or a 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 the design and evolution of next generation global fleet planning, defining a multi-year engineering roadmap to deliver 10x more data center capacity with ML, compute & storage resources.
• Leverage deep technical knowledge across the data center stack, spanning ML hardware (TPUs/GPUs), general compute, power, cooling, physical space, supply chain workflows, and network topology to model, forecast, and dynamically reconfigure fleet resources.
• Partner across AI & Infrastructure organizations to define a unified capacity management product suite meeting AI training and inference for internal and external customers.
• Integrate cutting-edge AI/ML, operations research, and advanced mathematical optimization into capacity planning workflows to compress capacity cycles, eliminate stranded capacity, and maximize data center utilization.
• Collaborate with academic institutions and industry pioneers to anticipate technology trends.

Skills

Capacity planning

Fleet management

IaaS/PaaS

Operations research

Education

Bachelor's degree in Computer Science or equivalent

Master's degree or PhD (preferred)

Job description

The application window will be open until at least September 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Thornton, CO, USA; Atlanta, GA, USA; Austin, TX, USA; Sunnyvale, CA, USA.

Minimum 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.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a field related (e.g., Networking or Security Systems).
• Experience architecting, leading, and delivering large-scale capacity planning, combinatorial optimization, fleet management, or distributed infrastructure transformations from concept to deployment.
• Deep understanding of modern AI/ML infrastructure demands (TPU/GPU topologies, accelerators) with the ability to integrate AI-driven solutions.
• Ability to influence and lead without direct authority, building strong cross-organizational relationships across disparate teams (e.g., Hardware, Software, Supply Chain, and Product Management).
• Exceptional communication skills, and ability to articulate complex mathematical, economic, and architectural concepts to engineering leaders and executive business stakeholders.

About The Job

Google runs one of the largest computational fleets in the world, with compute, storage, networking and dedicated accelerators spread across all continents. As Principal Engineer, you will own the architectural outlook and end-to-end technical strategy for our global capacity planning ecosystem. You will serve as the primary technical authority for a challenge, knitting together complex planning constraints, optimization scenarios, and machine deployment workflows to get optimal capacity online in the shortest time.

As the Principal Engineer, Resource Optimization and Fleet Logic, you will pioneer the technological vision for Google’s planetary-scale capacity planning and fleet optimization architecture. You will define the multi-year architectural path to orchestrate data center capacity planning, placement, supply planning, and fleet reconfiguration for ML, compute & storage demand —ultimately empowering our largest, most demanding internal and external AI/ML customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Lead the design and evolution of next generation global fleet planning, defining a multi-year engineering roadmap to deliver 10x more data center capacity with ML, compute & storage resources.
• Leverage deep technical knowledge across the data center stack, spanning ML hardware (TPUs/GPUs), general compute, power, cooling, physical space, supply chain workflows, and network topology to model, forecast, and dynamically reconfigure fleet resources.
• Partner across AI & Infrastructure organizations to define a unified capacity management product suite meeting AI training and inference for internal and external customers.
• Integrate cutting-edge AI/ML, operations research, and advanced mathematical optimization into capacity planning workflows to compress capacity cycles, eliminate stranded capacity, and maximize data center utilization.
• Collaborate with academic institutions and industry pioneers to anticipate technology trends.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .