Google Cloud's XBorg team is seeking a Software Engineer III to join their Borg Control Plane division, focusing on orchestrating machine learning workloads across Google's vast infrastructure. This role combines distributed systems engineering with cutting-edge ML infrastructure development.
As part of the ML, Systems, & Cloud AI (MSCA) organization, you'll work on systems that power Google's core services and Cloud offerings. XBorg introduces innovative concepts like weighted fair queuing and opportunistic resource usage to optimize ML workload efficiency across Alphabet's products.
The position offers the opportunity to work on large-scale systems that directly impact billions of users. You'll be involved in developing next-generation technologies for workload scheduling, resource management, and ML infrastructure optimization. The role requires strong software engineering fundamentals and the ability to work with complex distributed systems.
Google offers a collaborative environment where engineers can switch between teams and projects as they grow. You'll join a team that prioritizes security, efficiency, and reliability while pushing the boundaries of hyperscale computing. The work directly contributes to Google Cloud's Vertex AI platform and supports enterprise customers using Gemini models.
This is an ideal role for engineers passionate about distributed systems, machine learning infrastructure, and large-scale system design. You'll have the chance to work with cutting-edge technology while solving complex technical challenges that impact Google's global infrastructure.