Staff Software Engineer, GKE AI Agent Platform

Staff Software Engineer, GKE AI Agent Platform

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a key technical leader, you will be at the forefront of the agentic AI revolution, responsible for building the foundational platform that will power the next generation of intelligent systems. You will have a broad scope of influence, from core orchestration technology to the high-level system design for large-scale reinforcement learning. This position requires a blend of technical expertise and a passion for creating systems that empower developers worldwide. Your work will be pivotal in establishing the industry-leading platform for the most demanding AI workloads.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities:

• Lead the design of a unified Google Kubernetes Engine (GKE) architecture supporting both Reinforcement Learning Fine-Tuning (RLFT) and Agent-Level RL workloads.
• Drive end-to-end performance improvements of the RL step time. Address bottlenecks in sampler inference servers, storage I/O with a focus on low-latency Pod Snapshots, and high-throughput networking for terabyte-scale weight synchronization.
• Oversee cross-team initiatives to build a vertically integrated solution.
• Investigate and prototype foundational GKE capabilities for agent forensics and observability. Evaluate purpose-built AI hardware to create a defensible performance advantage for RL on GKE.
• Establish GKE as the premier platform for the Open Source Software (OSS) AI ecosystem. Publish performance benchmarks and reference architectures for leading Reinforcement Learning (RL) libraries.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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