Principal Engineer, Data Center Systems Architecture

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.

ABOUT THE JOB:

Google Cloud provides organizations with leading infrastructure, platform

capabilities, and industry solutions. We deliver enterprise-grade cloud

solutions that leverage Google’s technology to help companies operate more

efficiently and adapt to changing needs, giving customers a reliable foundation

for the future. Customers in more than 150 countries turn to Google Cloud as

their trusted partner to solve their most critical business problems.

Google's custom-designed machines and data centers constitute one of the

largest, most efficient, and most powerful computing infrastructures in the

world. As a Principal Engineer for Systems Architecture within Google’s Data

Center organization, you will define and drive next-generation architectures at

the critical intersection of physical data center infrastructure and IT systems.

In this role, you will

• partner with Hardware, Software, Manufacturing, Supply
• Chain, Delivery, and Operations teams across Google to lead game-changing
• architectural and development initiatives. You will work closely with internal
• engineering teams and external industry partners to execute these architectures,
• providing the technical direction, operational guidance, and industry influence
• necessary to scale Google's infrastructure for the future.
• The AI and Infrastructure team is redefining what’s possible. We empower Google
• customers with breakthrough capabilities and insights by delivering AI and
• Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our
• customers include Googlers, Google Cloud customers, and billions of Google users
• worldwide.
• We're the driving force behind Google's groundbreaking innovations, empowering
• the development of our cutting-edge AI models, delivering unparalleled computing
• power to global services, and providing the essential platforms that enable
• developers to build the future. From software to hardware our teams are shaping
• the future of world-leading hyperscale computing, with key teams working on the
• development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,
• Data Center operations, systems research, and much more.
• 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
• [https://www.google.com/about/careers/applications/benefits/].
• 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.