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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Engineer, Resource Optimization and Fleet Logic - **Company:** Google LLC - **Location:** Sunnyvale, CA, United States - **Salary:** $307,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Data Centers, Distributed Systems, Network Topologies, Infrastructure as a Service (IaaS), Graphics Processing Unit (GPU), Heroku, Information Technology, Machine Learning Operations - **Published:** September 18, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3394882651&tx=JP2721FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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., * 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. ## Description * 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. 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See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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