Staff Software Engineer, Parallel File System, AI/ML

Google Cloud is seeking a Staff Software Engineer to join their team working on parallel file systems for AI/ML applications. This role is part of Google Cloud's mission to accelerate digital transformation across industries through enterprise-grade solutions and cutting-edge technology.

The position requires a seasoned professional with 8 years of software development experience and deep expertise in C++ programming, distributed systems, and parallel file systems. You'll be working on critical infrastructure that supports diverse markets including Media and Entertainment, EDA, FinTech, and Hybrid cloud solutions.

As a Staff Software Engineer, you'll be responsible for creating fully managed file solutions, developing scalable file system technologies with advanced data protection features, and optimizing performance for customer needs. The role offers the opportunity to work with cross-functional teams and contribute to projects that impact billions of users globally.

The position offers a competitive compensation package ranging from $189,000 to $284,000, plus bonus, equity, and comprehensive benefits. Google provides a hybrid work environment with options for both remote and in-office work across multiple locations including Sunnyvale, Kirkland, and Seattle.

The ideal candidate will bring strong technical leadership experience, with a proven track record in developing infrastructure and distributed systems. You'll be part of a team that values innovation, ownership, and versatility, with opportunities to grow and evolve alongside Google's fast-paced business.

This role is perfect for someone who is passionate about solving complex technical challenges, has a strong background in system design and architecture, and wants to contribute to next-generation technologies that power Google Cloud's infrastructure. You'll be working in an inclusive environment that promotes diversity and belonging, with access to cutting-edge resources and the opportunity to make a significant impact on global-scale systems.