Google software engineers develop technologies used by billions of people and build products that operate at massive scale. In this role, you will work on a project critical to Google, with opportunities to move between teams and projects as the business evolves. The position calls for versatility, leadership, and enthusiasm for tackling problems across the full stack. The team manages and expands Google's large-scale data center infrastructure to meet growing demand for machine-learning training and inference hardware. Its mission is to create optimal global data center demand and supply plans, ensure sufficient capacity for customers, and keep the fleet aligned with internal and external ML demand. Decisions and software optimizations have impact measured in gigawatts. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, with a focus on efficiency, reliability, and velocity. Its customers include Google employees, Google Cloud customers, and Google users worldwide. Teams across the organization work on software and hardware, including TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. The listed U.S. compensation is $207,000–$300,000, plus a 20% bonus target, equity, and benefits.
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Job Type
Full-time
Career Level
Senior