Staff Software Engineer, Parallel File System, AI/ML

Google Cloud is seeking a Staff Software Engineer to lead the development of parallel file system technologies for AI/ML applications. This role combines deep technical expertise in distributed systems with a focus on building scalable storage solutions for enterprise customers. The position offers an opportunity to work on cutting-edge file system technologies that power Google Cloud's infrastructure.

The ideal candidate will bring 8+ years of software development experience with particular strength in C++ programming and distributed systems. You'll be responsible for creating managed file solutions that serve diverse market segments including Media and Entertainment, EDA, and FinTech. The role involves complex technical challenges around data protection, performance optimization, and system scalability.

As a Staff Engineer, you'll have significant technical leadership responsibilities, guiding project teams and setting technical direction. The position offers competitive compensation ($197,000-$291,000 base salary plus bonus, equity, and benefits) and the flexibility of hybrid work arrangements in major tech hubs like Sunnyvale, Kirkland, or Seattle.

This is an excellent opportunity for an experienced distributed systems engineer who wants to make an impact at scale, working on infrastructure that supports Google Cloud's rapidly growing AI/ML capabilities. You'll be part of a team that's pushing the boundaries of file system technology while solving real customer challenges across multiple industries.