Senior Staff Software Engineer - GKE AI Data

Google

On-sitePosted August 4, 2026

Senior Staff Software Engineer - GKE AI Data

Google

On-sitePosted August 4, 2026

About the role

Senior Staff Software Engineer - GKE AI Data

Job overview: Google is seeking a Senior Staff Software Engineer to join the GKE AI Data organization. You will solve storage and data-pipeline challenges for AI/ML workloads running on Kubernetes, including training, inference, reinforcement learning, and agentic workflows. This is an on-site role at U.S. locations (Sunnyvale, Seattle, Kirkland) in the United States.

Responsibilities

Qualifications: Minimum: Preferred:

Guide the architectural direction for GKE AI Data to deliver scalable, high-performance storage solutions for AI/ML workloads across block, file, and object storage.
Drive storage solutions for evolving AI/ML issues, including KV caching, fast model loading, and storage redesign for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage).
Partner with multiple storage teams in Google Cloud Platform to align strategy and execution.
Lead the broader Kubernetes ecosystem and OSS community, driving upstream initiatives to set industry standards for storage solutions.
Architect and guide technical execution of standards through hands-on work and mentoring 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, especially around storage and caching.
Demonstrated track record of significant contributions to Kubernetes or related CNCF/PyTorch AI/ML projects.
Demonstrated ability to influence cross-f

About the role

Senior Staff Software Engineer - GKE AI Data

Job overview: Google is seeking a Senior Staff Software Engineer to join the GKE AI Data organization. You will solve storage and data-pipeline challenges for AI/ML workloads running on Kubernetes, including training, inference, reinforcement learning, and agentic workflows. This is an on-site role at U.S. locations (Sunnyvale, Seattle, Kirkland) in the United States.

Responsibilities

Qualifications: Minimum: Preferred:

Guide the architectural direction for GKE AI Data to deliver scalable, high-performance storage solutions for AI/ML workloads across block, file, and object storage.
Drive storage solutions for evolving AI/ML issues, including KV caching, fast model loading, and storage redesign for agentic workloads (e.g., fast suspend/resume and shared multi-agent storage).
Partner with multiple storage teams in Google Cloud Platform to align strategy and execution.
Lead the broader Kubernetes ecosystem and OSS community, driving upstream initiatives to set industry standards for storage solutions.
Architect and guide technical execution of standards through hands-on work and mentoring 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, especially around storage and caching.
Demonstrated track record of significant contributions to Kubernetes or related CNCF/PyTorch AI/ML projects.
Demonstrated ability to influence cross-f

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