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 software engineering with research-oriented work in system optimization. The position involves developing unified debugging, profiling, and analytics tools for Google Cloud control plane systems, with opportunities to explore machine learning applications for anomaly detection. As part of Google's Technical Infrastructure team, you'll work on critical systems that power Google's vast product portfolio, from data centers to next-generation platforms. The role offers a unique blend of practical engineering and research, requiring both technical depth and the ability to innovate. You'll be responsible for conducting sophisticated performance analysis, developing optimization techniques, and contributing to the broader technical community through publications and patents. This position is ideal for candidates with a strong academic background who want to apply their research skills to solve real-world, large-scale engineering challenges at one of the world's leading technology companies. The role offers the opportunity to work with cutting-edge technology while contributing to systems that impact billions of users globally.