Requirements:

Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
5 years of experience in mission critical facility design and construction environments.
5 years of experience in designing and optimizing data centers, with a focus on machine learning systems.
Experience with Graphics Processing Unit/Tensor Processing Unit (GPU/TPU) architectures, AI system integration, and performance techniques.
Experience with data center infrastructure, including power, networking, storage, and cooling systems.

Nice to haves:

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, Automatic Transfer Panels/Automatic Transfer Switches (ATP/ATS), emergency power systems and their control systems, power monitoring, and electrical protection.
Experience with cross-discipline teams (e.g., structural, civil, IT/Telecom, security, mechanical, architectural).
Knowledge of data center infrastructure, including power, networking, storage, and cooling systems.
Familiarity with current and emerging trends in ML hardware and software, and their impact on data center design.

Define data center system-level, product architecture, research and development.
Conduct engineering analysis and research designs of data center equipment and facilities.
Ensure designs and installations meet requirements.
Be the regional technical anchor for designing Google’s future data center infrastructure.
Move beyond traditional facility design toward a "Full-Stack" optimization approach.

Opportunity to work in a cutting-edge research and development environment.
Leverage your technical expertise to drive innovation in data center architecture.
Collaborate with cross-discipline teams and senior-level executives.