Staff Engineer • Senior

Who you are

You have 8 years of experience in software development, with a strong focus on performance analysis and large-scale systems. Your background includes 5 years of experience testing and launching software products, and you possess a deep understanding of software design and architecture. You have a PhD in Computer Science or a related field, with a focus on computer architecture, operating systems, or distributed systems, which enhances your ability to lead cross-functional projects in performance engineering.

Your expertise extends to building systems that utilize statistical analysis and Machine Learning to automate performance diagnostics and anomaly detection. You have a proven track record of mentoring engineers and providing thought leadership within your team. Your ability to identify and deliver optimizations through hardware/software co-design sets you apart as a leader in your field.

What you'll do

In this role, you will lead investigations into performance anomalies and production incidents, performing root-cause analysis that traces issues from application reasoning down to hardware behavior. You will apply Machine Learning techniques to automate performance diagnostics and tuning, ensuring that our systems efficiently support Machine Learning workloads from feature engineering to inference. You will influence and drive technical roadmaps and architectural decisions across multiple engineering organizations, collaborating closely with cross-functional teams to deliver high-impact solutions.

What we offer

At Google, you will be part of a team that develops next-generation technologies that change how billions of users connect and interact with information. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment that encourages innovation and creativity, allowing you to bring fresh ideas from various areas including information retrieval, distributed computing, and data storage. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.