Software Engineer, Systems Research, PhD, Early Career

Google is seeking a Software Engineer for their Systems Research team, specifically targeting PhD graduates or those with equivalent experience. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for designing and implementing the infrastructure that powers Google's services and Cloud platform.

The position offers a unique opportunity to work on cutting-edge systems research, focusing on areas such as storage systems, distributed systems, cloud computing, and machine learning infrastructure. The successful candidate will contribute to advancing the state of the art in computing and building next-generation intelligent systems for Google products.

Key responsibilities include exploring emerging technologies, participating in system design and prototype development, and creating innovative strategies for future products. The role requires collaboration across research and engineering teams to integrate research findings into practical applications.

The position offers competitive compensation ($141,000-$202,000 base salary) plus bonus, equity, and comprehensive benefits. Located in Sunnyvale, CA, this role provides an opportunity to work with world-class researchers and engineers while contributing to technologies that impact billions of users.

Ideal candidates should have a PhD in Computer Science or related field, strong programming skills in languages like Python, Java, or Go, and research experience in computer systems. Experience with machine learning systems and a track record of published research in top venues (SOSP, OSDI, etc.) are highly valued.

This is an excellent opportunity for those passionate about systems research who want to make a significant impact while working at one of the world's leading technology companies. The role combines academic research with practical implementation, offering the chance to shape the future of Google's infrastructure and cloud services.