Distinguished Engineer, Storage – AI Cloud

What you'll do

• Lead multi-year technical plan for AI Cloud Storage expansion across NCPs.
• Direct architecture of high-performance file, object, and block storage at exabyte scale.
• Define "production-ready" standards including durability and availability SLOs in 9s.
• Develop open-source strategy to broaden the AI storage ecosystem on GitHub-first principles.
• Mentor senior engineers and establish rigorous root-cause analysis for major incidents.

What we're looking for

• Extensive experience (18+ years) in high-performance parallel file systems and multi-petabyte-scale storage technologies.
• Proven track record of crafting and managing exabyte-scale storage platforms for performance-critical workloads like AI training.
• Demonstrated ability to set technical strategy across business units, driving multi-year storage architectures adopted by multiple teams.
• Hands-on engineering experience with direct involvement in production code writing and reviewing.
• Strong proficiency in systems languages (C, C++, Rust, Go) and Python, with comfort in Linux kernel storage and networking stacks.
• Frequent use of advanced AI coding and autonomous tools to accelerate development and operations processes.