Senior Staff Software Engineer, GKE AI Data

Job description

Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage. Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage). Partner with multiple storage teams in google cloud platform (GCP) to drive alignment and clarity around strategy and execution. Lead the broader Kubernetes ecosystem and Open Source Software (OSS) community, driving key upstream initiatives to establish industry standards for storage solutions. Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience with design and architecture; and testing/launching software products. Preferred Qualifications: Deep expertise in AI/ML infrastructure, specifically regarding storage and caching solutions. Demonstrated track record of significant technical contributions to the Kubernetes open-source project or related CNCF or PyTorch AI/ML projects. Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.