Google is seeking a Software Engineer to join their ML, Systems, & Cloud AI (MSCA) organization, focusing on Unified Autoscaling Services. This role is crucial in developing next-generation technologies that impact billions of users worldwide. The position involves working on Google's infrastructure that supports all Google services and Google Cloud, with a focus on security, efficiency, and reliability.
The role requires expertise in software development, data structures, and algorithms. You'll be part of a team that designs, implements, and manages hardware, software, machine learning, and systems infrastructure for Google services and Cloud operations. This includes work on cutting-edge technologies like TPUs and Vertex AI, Google Cloud's leading AI platform for enterprise customers.
As a Software Engineer in this role, you'll have the opportunity to work on critical projects with significant impact, collaborating across teams to bring innovative solutions to life. The position offers exposure to various aspects of Google's infrastructure, from distributed computing to large-scale system design. You'll be contributing to systems that power services like Search, YouTube, and other Google products used by billions globally.
The ideal candidate should be versatile, demonstrate leadership qualities, and be enthusiastic about tackling new challenges across the full technology stack. This role offers excellent growth opportunities as you'll be working at the intersection of cloud computing, machine learning, and large-scale systems, making it perfect for engineers passionate about building robust, scalable infrastructure that powers next-generation AI and cloud services.