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Data Center Design Lead
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Google 3 days ago Be among the first 25 applicants Join to apply for the
Data Center Design Lead
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Austin, TX, USA; Kirkland, WA, USA; New York, NY, USA; Reno, NV, USA . Minimum qualifications:
Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.
Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience. 5 years of experience in designing and optimizing data centers, with a focus on machine learning systems. Experience with cost and performance modeling for data center infrastructure. Experience in defining rack interconnects, cable tray routing, and development of cable tray and telecom network within a data center. Experience in data center infrastructure, including power, networking, storage, and cooling systems. Experience in general network and telecom design in a data center and with industry standards and guidelines (e.g. TIA).
Preferred qualifications:
Master's degree in Engineering, Business, relevant field, or engineering license. Experience in estimating, mechanical design, operation, and commissioning of mission critical data center mechanical equipment. Experience in design, construction, and commissioning of mechanical cooling plants, fire suppression systems, fuel oil systems, domestic water systems, and sanitary sewer systems in mission critical facility design and construction environment. Experience designing complex modular building scale assemblies, and understanding of mechanical tolerances and tolerance analysis. Operational knowledge of construction safety procedures. Knowledge of mechanical engineering and design principles with expertise in design for medium-scale production, structural beams/elements, and international building codes.
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).
The US base salary range for this full-time position is $144,000-$211,000 + 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
Architect and optimize data centers for large-scale AI/ML deployments. Develop requirements for new data center design network architecture and telecom. Lead development of network layout, routing within data center building, campus, and integration of network within different subsystems and program areas of the data center. Identify and implement solutions to accelerate project timelines and reduce infrastructure costs while maintaining high performance standards. Evaluate emerging technologies and influence industry trends to ensure our data centers are aligned with the latest ML advancements. Partner with internal teams and hardware vendors to troubleshoot performance issues, influence product roadmaps, and integrate cutting-edge AI solutions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesInformation Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Data Specialist jobs in
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Data Center Design Lead
role at
Google 3 days ago Be among the first 25 applicants Join to apply for the
Data Center Design Lead
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Austin, TX, USA; Kirkland, WA, USA; New York, NY, USA; Reno, NV, USA . Minimum qualifications:
Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description.
Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience. 5 years of experience in designing and optimizing data centers, with a focus on machine learning systems. Experience with cost and performance modeling for data center infrastructure. Experience in defining rack interconnects, cable tray routing, and development of cable tray and telecom network within a data center. Experience in data center infrastructure, including power, networking, storage, and cooling systems. Experience in general network and telecom design in a data center and with industry standards and guidelines (e.g. TIA).
Preferred qualifications:
Master's degree in Engineering, Business, relevant field, or engineering license. Experience in estimating, mechanical design, operation, and commissioning of mission critical data center mechanical equipment. Experience in design, construction, and commissioning of mechanical cooling plants, fire suppression systems, fuel oil systems, domestic water systems, and sanitary sewer systems in mission critical facility design and construction environment. Experience designing complex modular building scale assemblies, and understanding of mechanical tolerances and tolerance analysis. Operational knowledge of construction safety procedures. Knowledge of mechanical engineering and design principles with expertise in design for medium-scale production, structural beams/elements, and international building codes.
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).
The US base salary range for this full-time position is $144,000-$211,000 + 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
Architect and optimize data centers for large-scale AI/ML deployments. Develop requirements for new data center design network architecture and telecom. Lead development of network layout, routing within data center building, campus, and integration of network within different subsystems and program areas of the data center. Identify and implement solutions to accelerate project timelines and reduce infrastructure costs while maintaining high performance standards. Evaluate emerging technologies and influence industry trends to ensure our data centers are aligned with the latest ML advancements. Partner with internal teams and hardware vendors to troubleshoot performance issues, influence product roadmaps, and integrate cutting-edge AI solutions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
Job functionInformation Technology and Engineering IndustriesInformation Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Data Specialist jobs in
Kirkland, WA . Seattle, WA $50,000.00-$62,000.00 2 weeks ago Bellevue, WA $73,000.00-$93,000.00 6 days ago Bellevue, WA $130,000.00-$190,000.00 1 week ago Workspace Escalation Insights and Data Analytics Lead Kirkland, WA $174,000.00-$258,000.00 2 weeks ago Workspace Escalation Insights and Data Analytics Lead Seattle, WA $174,000.00-$258,000.00 2 weeks ago Renton, WA $92,520.00-$112,656.00 2 weeks ago FBI Special Agent: Advanced Data & Intelligence Expertise Seattle, WA $99,461.00-$128,329.00 2 weeks ago Amazon Team Senior Data & Content Specialist Issaquah, WA $77,900.00-$111,300.00 1 week ago Greater Seattle Area $69,744.00-$93,804.00 2 weeks ago Amazon Team Senior Data & Content Specialist Issaquah, WA $77,900.00-$111,300.00 1 week ago Anti-Fraud Data Analyst Graduate (TikTok Shop - Governance & Experience) - 2026 Start (BS/ MS) Seattle, WA $82,228.00-$128,356.00 1 week ago Data Analyst Graduate (TikTok Shop Governance & Experience) - 2026 Start (BS/MS) Seattle, WA $82,227.00-$128,355.00 1 week ago Seattle, WA $106,400.00-$209,380.00 4 weeks ago Special Agent: Mathametics/Data Expertise Greater Seattle Area $99,461.00-$128,329.00 2 weeks ago Seattle, WA $177,688.00-$341,734.00 2 weeks ago Mountlake Terrace, WA $80,000.00-$95,000.00 3 weeks ago Seattle, WA $70,000.00-$150,000.00 1 week ago Redmond, WA $122,500.00-$145,000.00 2 weeks ago Seattle, WA $60,000.00-$70,000.00 15 hours ago Bellevue, WA $162,000.00-$229,000.00 2 weeks ago Redmond, WA $105,300.00-$168,500.00 1 week ago System Administrator (UNIX) - Data Centers, IS Core Seattle, WA $80,000.00-$150,000.00 3 weeks ago Renton, WA $53,473.00-$77,537.00 2 weeks ago Seattle, WA $150,000.00-$180,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr