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- Over 100,000 employees globally
- Headquartered in Mountain View, California
- Parent company Alphabet Inc. valued at $1.5 trillion
- Google Cloud Platform serves millions of customers
Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...
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Skills & Technologies
Overview
Google is hiring a Staff Data Center Design Lead to optimize data center infrastructure with a focus on machine learning systems. You'll work with electrical engineering, power systems, and AI integration. This position requires 10 years of experience in data center design.
Job Description
Who you are
You have a Bachelor's degree in Electrical Engineering, Power Engineering, or a related technical field, along with 10 years of experience in designing and optimizing data centers, particularly focusing on machine learning systems. Your expertise includes cost and performance modeling for data center infrastructure, and you have a strong background in power, networking, storage, and cooling systems. You are familiar with GPU and TPU architectures, AI system integration, and performance techniques, which are essential for this role.
You may also hold a Master's degree in Engineering or Business, or possess a Professional Engineering (PE) license. Your experience extends to estimating, electrical design, operation, and commissioning of substations and switchgear, as well as emergency power systems and control systems. You have worked with data center equipment and environments, understanding the startup and commissioning processes involved.
What you'll do
In this role, you will lead the design and optimization of data centers, ensuring they meet the high-performance standards required for machine learning applications. You will evaluate emerging technologies and influence industry trends to align data centers with advancements in machine learning. Your responsibilities will include partnering with internal teams and hardware vendors to troubleshoot performance issues, influence product roadmaps, and integrate AI solutions into the infrastructure. You will also implement solutions to accelerate project timelines and reduce infrastructure costs while maintaining high performance standards.
What we offer
At Google, you will be part of a team that is at the forefront of technology, taking the physical design of data centers into the future. You will have the opportunity to work in a lab that mirrors a research and development department, where cutting-edge strategies are born and tested. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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