Develop and enhance AI/ML client libraries for storage.

Lead the team to design, develop, and tune benchmarks for GCP Storage systems, positioning GCP Storage as the premier solution for AI/ML workloads.

Assist key customers in onboarding their AI/ML workloads onto GCP storage.

Work closely with cross-functional teams across GCP including Core GCS, File Solutions, GKE, Cloud ML Compute Services (CMCS), and Networking to drive storage innovation for AI/ML.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

7 years of experience in building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.

5 years of experience with design and architecture; and testing/launching software products.