Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. The company is looking for engineers to build the foundational platform that will power the next generation of intelligent systems, establishing the industry-leading platform for the most demanding AI workloads.
Requirements
- 8 years of experience in software development.
- 5 years of experience in cloud computing and building operating systems.
- Experience delivering in hypergrowth and changing development environments, ideation and innovating technology.
- Experience with operating a cloud product.
- Experience in statistical analysis and classical machine learning.
- Experience in contributing to open source software.
- Understanding of building solutions or contributing to Kubernetes.
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.
Other
- Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
- Preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
- Ability to possess a developed technical perspective and architecture and system design.
- Track record of building Machine Learning (ML) or Generative Artificial Intelligence (Gen AI) agentic platform.
- 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.
