The Senior Staff Software Engineer for GKE AI Data at Google will focus on developing storage solutions and data pipelines for AI-ML workloads. This role is critical to the Google Kubernetes Engine (GKE) and involves solving complex storage problems at the intersection of Kubernetes, AI-ML, and storage technologies. The engineer will collaborate with various teams within Google Cloud and the open-source community to drive innovation and establish industry standards. The position requires a strong technical background and the ability to influence cross-functional teams.

• 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.
• Deep expertise in AI/ML infrastructure, specifically regarding storage and caching solutions.

• Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads.
• Drive storage solutions for evolving AI/ML issues, including KV Caching and fast model loading.
• Partner with multiple storage teams in Google Cloud Platform to drive alignment and clarity around strategy and execution.
• Lead the broader Kubernetes ecosystem and Open Source Software community, driving key upstream initiatives.
• Imagine, architect, and lead the technical execution of industry-defining standards through mentoring and guiding teams of engineers.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.