Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or equivalent practical experience.
- 10 years of experience in the design of Data Center Systems Engineering, system architecture, controls and integration.
- 10 years of experience coordinating work with outside design consultants on new Data Center designs from layout construction documents.
- 10 years of experience with designing reconfigurable modular interfaces for Data Centers.
- Master's degree in Mechanical Engineering, Aerospace Engineering, or Systems Engineering.
- Experience in Data Center (DC) design, engineering and familiar with the DC stack and products, including mechanical, electrical and network products.
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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).
In this role, you will be responsible for defining, implementing, and maintaining critical Data Center (DC) system architecture and interfaces between and within Product Areas (PA) to enable modular introduction and incremental phasing of new technologies into the data center fleet.
The US base salary range for this full-time position is $165,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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
- Collaborate with partners to architect and optimize data centers tailored for Artificial Intelligence (AI)/Machine Learning (ML) workloads (network infrastructure and rack layouts to integration of hardware accelerators) to maximize performance, efficiency, and scalability.
- Evaluate emerging technologies across the entire IT stack, from servers and storage to networking and cooling. Leverage knowledge to shape industry standards and best practices.
- Partner with internal teams to identify and resolve performance bottlenecks in production environments. Analyze system-level metrics to pinpoint areas for improvement, and implement solutions that optimize resource utilization, reduce latency, and increase overall system throughput.
- Build relationships with hardware partners to understand technology roadmaps and product development cycles. Provide feedback on unique requirements and use cases, influencing the design of future generations infrastructure.