Lead Systems Engineering Architect
Summary
Google's Data Center Engineering team is hiring a Lead Systems Architect to translate TPU/GPU hardware roadmaps into facility-level designs for ultra-high-density AI/ML clusters — defining row topologies, high-power busways, power taps, and direct liquid-cooling handoffs, and directing internal teams and external A&E consultants.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
As a Lead Data Center Systems Architect, you will serve as the primary physical and infrastructure integration anchor for our next-generation, ultra-high-density AI/ML accelerator platforms (TPUs and GPUs). You will directly translate advanced compute hardware roadmaps into robust facility-level architectures, defining the physical row topologies, high-power busway systems, power tap interfaces, and direct liquid-cooling handoffs required to deploy massive machine learning clusters at global scale.
In this role, you will guide infrastructure designs from early-stage hardware co-development through schematic layouts and modular engineering blueprints. You will partner closely with compute hardware engineering, thermal/mechanical specialists, and external Architectural and Engineering (A&E) partners, transforming extreme chip-level power and cooling demands into highly scalable, rapidly deployable, and operationally resilient data center systems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Develop and own comprehensive data center facility designs, system-level specifications, and physical/electrical topology plans from concept through detailed design.
- Formulate multi-generation infrastructure evolution roadmaps that address exponential power growth, accelerated deployment timelines, and sustainability goals.
- Lead the end-to-end physical infrastructure integration for ultra-high-density AI/ML platforms (TPUs/GPUs), including high-power busways, power taps, and direct liquid-cooling handoffs.
- Author cross-disciplinary Interface Control Documents (ICDs) and Form, Fit, and Function (FFF) standards to ensure modular interoperability across building blocks, power systems, and rack designs.
- Direct outside Architectural and Engineering consultants and synthesize cross-functional requirements (Platforms, Networking, SRE, Construction) into buildable data hall designs.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
- 10 years of experience in mission-critical facility design and construction environments.
Preferred qualifications:
- Master's degree in Engineering, Business or other relevant field or a professional engineering license or a Professional Engineering (PE) license.
- Experience in estimating, electrical design, operation, and commissioning of substations, switchgear, ATP/ATS, emergency power systems and their control systems, power monitoring, and electrical protection.
- Experience in design, construction, and commissioning of high voltage substations, medium or low voltage electrical distribution systems, AC/DC systems, and associated power management or SCADA tools.
- Experience working with data center equipment and environments (e.g., switchgear, generators, transformers, controls, security monitoring systems, fire safety systems).
- Experience with medium voltage systems.

