Lead Systems Engineering Architect
Lead Systems Engineering Architect
Runs Search and YouTube and builds Gemini AI
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 a Lead Data Center Systems Architect, you will serve as the primary physical and infrastructure integration anchor for our next-generation, ultra-high-density AI/ML accelerator platforms (TPUs and GPUs). You will directly translate advanced compute hardware roadmaps into robust facility-level architectures, defining the physical row topologies, high-power busway systems, power tap interfaces, and direct liquid-cooling handoffs required to deploy massive machine learning clusters at global scale.
In this role, you will guide infrastructure designs from early-stage hardware co-development through schematic layouts and modular engineering blueprints. You will partner closely with compute hardware engineering, thermal/mechanical specialists, and external Architectural and Engineering (A&E) partners, transforming extreme chip-level power and cooling demands into highly scalable, rapidly deployable, and operationally resilient data center systems.
Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.
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