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. As a Systems Research Engineer, you'll be contributing to foundational research that shapes the future of Google's technology stack and influences billions of users worldwide.
The role combines academic research with practical engineering, requiring both theoretical knowledge and hands-on implementation skills. You'll be working with state-of-the-art technologies, including Google's TPUs and various cloud infrastructure components. The position involves collaboration with both research and engineering teams, offering the unique opportunity to bridge the gap between academic research and real-world applications.
Key aspects of the role include exploring emerging technologies, building prototypes, and developing innovative solutions that could potentially transform into future Google products. The company offers competitive compensation, including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits.
This is an ideal position for someone who wants to continue their research work while having direct impact on products used by billions of people. The role offers the perfect blend of academic research freedom and practical engineering challenges, all while working at one of the world's leading technology companies with access to unprecedented computational resources and datasets.