Distinguished Engineer, Storage – AI Cloud

What you'll do

• Set multi-year storage architecture, performance and durability SLOs, qualification standards, and roadmaps for file, object, and block storage.
• Review and prototype storage systems, investigate production incidents, and establish automated operations and rigorous corrective actions.
• Guide open-source strategy and partner alignment; mentor engineers and promote daily use of AI tools across the storage organization.

What they ask for

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field — or equivalent experience.
• 18+ years of practical storage engineering experience, including high-performance parallel file systems and multi-petabyte-scale data.
• Proven record designing and managing exabyte-scale storage platforms with performance, durability, and availability SLOs measured in 9s.
• Proficiency in at least one of C, C++, Rust, or Go, and in Python; experience with Linux kernel storage and networking stacks.

Nice to have

• Storage solutions for AI training or inference at 10k+ GPU scale.
• Open-source contributions, disaggregated-inference storage architecture, or public technical contributions in AI infrastructure storage.

Pay

320,000 USD - 488,750 USD (base salary)

Tools

Lustre, GPFS / Spectrum Scale, WEKA, VAST, BeeGFS, DAOS, Python, Linux kernel

AI focus

Apply AI tools to accelerate engineering work and increase productivity; lead an engineering culture centered on daily use of modern AI coding and agentic tools, sharing patterns, prompts, and evaluation harnesses.