The Principal Engineer for the GKE Platform will lead the architectural reinvention of Google Kubernetes Engine to support AI inference workloads at scale. This role focuses on developing a highly optimized and scalable foundation for distributed large language model serving. The engineer will collaborate with strategic AI model builders and drive key initiatives within the Kubernetes ecosystem. This position is critical for integrating AI capabilities into the GKE platform and influencing the broader open-source community.

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 15 years of experience in software engineering or 15 years of experience with an advanced degree.
• Experience building distributed systems and driving technical strategy for platform-level infrastructure.
• Experience with Kubernetes, container runtimes, and AI/ML infrastructure.

• Lead the architectural direction for llm-d, ensuring a highly optimized, scalable foundation for distributed LLM and Reinforcement Learning serving across the GKE fleet.
• Define GKE's evolution to support massive-scale inference and RL, solving novel orchestration problems in dynamic resource allocation.
• Partner with strategic AI model builders to co-develop an AI-first roadmap, leveraging Google's custom silicon.
• Lead the broader Kubernetes ecosystem and Open Source Software community, driving key upstream initiatives to establish industry standards.

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