Data Center System Architect

Google's Data Center Engineering team is seeking a Data Center System Architect to lead the future of their data center infrastructure, particularly focusing on AI/ML deployments. This role combines deep technical expertise in data center architecture with cutting-edge AI/ML systems integration. The position involves developing innovative data center architectures that are both efficient and globally deployable, with a particular emphasis on optimizing for machine learning applications.

The role requires expertise in both traditional data center infrastructure (power, cooling, networking) and modern AI/ML hardware (GPUs/TPUs). You'll be responsible for defining and implementing critical system architectures, leading investigations into IT rack integration, and driving full-stack optimization of IT and data center design. This position sits at the intersection of infrastructure technology and IT technology, focusing on improving development and deployment velocity through modular data center solutions.

As part of Google's Technical Infrastructure team, you'll work on the architecture that powers Google's vast product portfolio. The role combines strategic thinking with hands-on technical leadership, requiring both broad vision and attention to detail. You'll collaborate with internal teams and vendors to influence product roadmaps and integrate AI solutions, while also focusing on cost optimization and performance improvements.

This is an excellent opportunity for someone passionate about large-scale infrastructure and AI/ML systems, offering the chance to shape the future of Google's data center architecture. The role comes with competitive compensation and comprehensive benefits, reflecting Google's commitment to attracting top talent in this critical area.