Minimum qualifications:- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 15 years of experience in data center physical infrastructure architecture, systems engineering, and facility design.
- Experience aligning data center physical infrastructure with hardware architectures optimized for Machine Learning (ML) and Artificial Intelligence (AI) workloads.
Preferred qualifications:- Master's degree or PhD in Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical field.
- Experience defining and executing long-term technical strategies or architectural visions for global data center infrastructure or enterprise-class server development teams.
- Exceptional technical leadership and indirect influence skills, with experience driving architectural direction across matrixed engineering organizations without direct positional authority.
- Domain expertise in cross-disciplinary systems integration, seamlessly bridging physical facility constraints (e.g., thermal, power, structural) with server hardware and software topologies.
- Ability to lead and influence senior, highly technical stakeholders and cross-functional executives to align on technical roadmaps.
Responsibilities- Provide direction and leadership for data center and equipment designs, cross-system optimizations, and global operational strategies. Lead cross-disciplinary architecture, definition, and development across engineering fields (e.g., electrical, mechanical, thermal, structural, controls, industrial) to optimize system design points.
- Drive modular data center design initiatives, pioneering scalable, prefabricated, and containerized architectures that reduce deployment timelines and enhance reproducibility.
- Deliver technical direction, integration expertise, and data analysis for overall system architecture, throughput, and performance, while presenting option tradeoffs to guide executive decision-making.
- Collaborate across teams and partners to design for manufacturability and supply chain efficiency, accelerating delivery speed while optimizing total cost of ownership.
- Analyze operational flows and manufacturability to maximize speed-to-market and capacity serving. Drive standardization efforts to achieve global scale, supply chain resilience, and optimized success criteria to include reliability, cost, weight, transportation, installation, and serviceability.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $256000 - $356000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
