Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The AI Storage team within Google Distributed Cloud (GDC) builds the foundational data layer that powers next-generation machine learning and generative AI workloads at the edge and in air-gapped environments. AI models require massive throughput and ultra-low latency; our team tackles the complex challenge of delivering high-performance, massively scalable storage systems directly to customer data centers. We focus on optimizing the data pipeline to keep GPUs and accelerators fully saturated, ensuring that enterprise and public-sector customers can run advanced AI on their most sensitive data without compromising on sovereignty, security, or speed.
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .