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 an 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 exploring emerging technologies, building prototypes, and developing innovative solutions that could shape the future of Google's infrastructure.

The role combines research and practical engineering, requiring both theoretical knowledge and hands-on implementation skills. You'll work with programming languages like Python, Java, or Go, and collaborate across research and engineering teams to integrate research findings into products. The position offers competitive compensation ($141,000-$202,000 + bonus + equity) and comprehensive benefits.

This is an excellent opportunity for someone with a strong research background who wants to impact billions of users through Google's global infrastructure. The role involves working on projects that advance the state of the art in computing while solving real-world challenges in areas like sustainability, algorithm optimization, and AI systems.

The position is based in Sunnyvale, CA, and offers the chance to work with world-class researchers and engineers. You'll be part of a team that prioritizes security, efficiency, and reliability while pushing the boundaries of hyperscale computing. This role is perfect for candidates who want to bridge the gap between academic research and practical implementation in a company that operates at global scale.