Principal Engineer, Resource Optimization and Fleet Logic
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$307k–$427k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 5h ago
~40 hrs/week
Responsibilities
The Principal Engineer will define the architectural strategy for global capacity planning and fleet optimization across Google's planetary-scale infrastructure. They will lead the design of next-generation fleet planning and integrate advanced AI/ML and mathematical optimization to maximize data center utilization.
Requirements
Candidates must have at least 15 years of software engineering experience and a bachelor's degree in a technical field. Proven expertise in delivering large-scale capacity planning, IaaS/PaaS solutions, or fleet management systems is required.
Full job description
Minimum qualifications:
Bachelor's degree in Computer Science or similar technical field, or equivalent practical experience.
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.
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.
Related keywords
Computer ScienceSoftware EngineerCapacity PlanningIaaSPaaSFleet ManagementDistributed InfrastructureAIMLTPUGPUAcceleratorsData CenterSupply ChainNetwork TopologyOperations Research
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
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