Architectural Design Engineering Lead, Google Data Centers

Architectural Design Engineering Lead, Google Data Centers - Google Careers

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Architectural Design Engineering Lead, Google Data Centers

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corporate_fareGoogleplaceSan Francisco, CA, USA; Sunnyvale, CA, USA; +2 more; +1 morelaptop_windowsRemote eligible

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: Google"s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: San Francisco, CA, USA; Sunnyvale, CA, USA.

Remote location(s): California, USA.

Minimum qualifications:

• Bachelor"s degree in architecture, civil, or structural engineering or equivalent practical experience.
• Certification in the national council of architectural registration boards (NCARB).
• 10 years of experience working on industrial or data center projects within an architecture, engineering, or construction (AEC) environment.
• Experience using Autodesk Revit, AutoCAD, and Autodesk Construction Cloud for design coordination, life safety review, and architectural documentation.

Preferred qualifications:

• Master"s degree in architecture, civil engineering, or structural engineering.
• 12 years of experience as a licensed architect with the national council of architectural registration boards certification (NCARB).
• 12 years of experience as a key contributor to multi-phased projects within architecture, engineering, or construction firms.
• Experience managing external architecture and engineering vendors for data center design while utilizing Python and Dynamo to automate the design tasks.

About the job

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You"re a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

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 the Data Center Architectural Design Lead, you will bridge the gap between design and construction. You will lead next-generation infrastructure development, creating scalable solutions from product-level details to top-level assembly. By merging expertise in building codes and life safety with advanced modeling, you will ensure all spaces are optimized for performance, safety, and efficiency.

You will drive multi-disciplinary projects, coordinating with structural, mechanical, electrical, and security trades to rationalize complex requirements. You will guide external consultants in creating construction-ready packages while distilling technical insights for senior leadership. By orchestrating feedback loops between construction and operations, you will integrate real-world data into future designs to ensure facilities remain sustainable and state-of-the-art. You will optimize for long-term business goals, providing the foundational framework necessary for the future of global technology deployment.

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.

The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Direct multi-disciplinary teams across structural, civil, mechanical, electrical, controls, security, and telecommunications for product development and top-level assembly integration of architectural scopes.

• Lead internal workstreams to define and standardize technical requirements for next-generation data center designs and ancillary building structures.

• Conduct design reviews to ensure global building code compliance, optimized space planning, headcount modeling, and efficient people and material circulation.

• Review construction-level drawings and specifications, serving as the primary escalation point for localized engineering adjustments to canonical designs.

• Orchestrate feedback loops between construction and operations teams to integrate field data and lessons learned into future design iterations and program standards.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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