Software Engineer, Performance, Reliability, Observability, PhD, Early Career

Google is seeking a PhD-level Software Engineer to join their Technical Infrastructure team, focusing on performance, reliability, and observability. This role combines advanced research with practical engineering to develop unified debugging, profiling, and analytics tools for Google Cloud control plane systems. The position involves working on critical projects that power Google's massive-scale infrastructure, from data centers to next-generation platforms.

The ideal candidate will conduct sophisticated performance analysis of virtual machines, develop optimization techniques, and contribute to the broader technical community through research publications. This role offers an opportunity to work at the intersection of academic research and practical engineering, applying machine learning to automate anomaly detection and improve system performance.

As part of Google's Technical Infrastructure team, you'll be instrumental in maintaining and improving the architecture that powers Google's extensive product portfolio. The role combines deep technical expertise with collaborative research, requiring both strong analytical skills and the ability to communicate complex findings effectively.

This position is perfect for PhD graduates who want to apply their research skills to real-world challenges at scale, working with cutting-edge technology and contributing to the advancement of cloud computing infrastructure. The role offers the opportunity to make significant technical contributions while working alongside other talented engineers and researchers in a dynamic, innovative environment.