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Sunnyvale, CA, USA; Atlanta, GA, USA; Chicago, IL, USA; Kirkland, WA, USA; Austin, TX, USA; New York, NY, USA
Source: Google careers · View original posting
From Google's posting. “We” and “our” refer to the employer.
As an AI Infrastructure Field Solution Architect, your experience and thought leadership will support Google Cloud commercial teams to incubate, pilot, and roll out industry-leading TPU and GPU hardware at market innovators, large enterprises, and early-stage startups. You will empower accounts to innovate faster with systems and software using our latest technical offerings.
You will guide technical discussions on network topologies, fabric architecture, and compute or storage integration, while supporting server and cluster provisioning. This includes on-site visits to client hosting facilities during physical implementation.
You will identify and assess opportunities, evaluating cost-to-performance tradeoffs, evaluating baseline models, developing migration paths, and integrating specialized silicon into overarching technical roadmaps. Along the way, you will partner closely with internal product and engineering units to remove roadblocks and shape future platform capabilities.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $233000 - $324000 (USD) + 25% bonus target + equity + benefits
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