The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $275000 - $382000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Lead and develop a comprehensive physical hardware roadmap and solutions for Google’s data center hardware spanning ML TPU, GPU, Networking, Server compute, Storage, and any additional computing hardware and supporting solutions for data center.
Drive mechanical, cooling, and robotics solutions from early architecture through to volume production and data center deployment. Anticipate, troubleshoot, and mitigate complex, fleet-wide deployment challenges in a high-demand environment.
Steer technical engagements and partnerships with suppliers and ecosystem partners to ensure high-quality, high-yield volume manufacturing.
Serve as the ultimate authority on system-level performance, heavily leveraging your deep expertise in managing complex trade-offs.
Elevate the engineering standards across the organization. Provide technical guidance and mentorship to senior engineers across hardware, silicon, and data center operations teams.
Minimum qualifications
Bachelor's degree in Mechanical Engineering, Product Design Engineering, Physics, a related field, or equivalent practical experience.
15 years of experience working in the computing hardware industry.
10 years of experience in technical leadership and engineering management.
Experience architecting and shipping hyperscale compute, telecom infrastructure, or high-reliability physical hardware products directly to the data center.
Preferred qualifications
PhD in Mechanical Engineering, Product Design Engineering, Physics, a related field, or equivalent practical experience.
Knowledge in data center hardware physical development including mechanical design, thermal management, cables/interconnects, backplanes, robotics/automation, advanced packaging, manufacturing processes, and supply chain diversification.
Knowledge in mechanical and product design principles.
Ability to navigate ambiguity, resolve complex technical trade-offs, and drive consensus across large, globally distributed engineering organizations.
Bachelor's degree in Mechanical Engineering, Product Design Engineering, Physics, a related field, or equivalent practical experience.
15 years of experience working in the computing hardware industry.
10 years of experience in technical leadership and engineering management.
Experience architecting and shipping hyperscale compute, telecom infrastructure, or high-reliability physical hardware products directly to the data center.
