Google Cloud is seeking a Software Engineer to join their XBorg team, focusing on developing next-generation technologies that impact billions of users. This role combines distributed systems expertise with machine learning infrastructure, making it an exciting opportunity for PhD graduates looking to make a significant impact. As part of Google Cloud, which serves customers in over 200 countries, you'll work on critical projects involving scheduling architecture for ML workloads and system optimization.
The position offers the chance to work with cutting-edge technology while collaborating with various teams across Alphabet. You'll be responsible for designing and implementing new scheduling features, optimizing resource efficiency, and maintaining production systems. The role requires a strong foundation in computer science, with hands-on experience in programming languages like Python, C++, Java, or JavaScript.
Google's commitment to innovation and scale makes this an ideal role for those interested in large-scale system design and distributed computing. You'll be part of a versatile team that pushes technological boundaries while maintaining reliable, highly-efficient systems. The position combines technical challenges with the opportunity to work on products that impact users globally, all while being supported by Google's collaborative and inclusive culture.
This role is perfect for candidates who want to leverage their PhD research experience in a practical, high-impact environment while working with some of the most advanced technology infrastructure in the world. You'll have the opportunity to grow professionally while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.