Job Description

Google is seeking experienced software engineers to develop next-generation technologies that enhance performance, reliability, and efficiency across its data pillar applications. The role involves optimizing software solutions and collaborating on cross-functional projects to drive improvements in large-scale systems.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products.
5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
3 years of experience with software design and architecture.
Experience with performance analysis and computer architecture.

Responsibilities

Design, prototype, and implement optimizations in software, system libraries, and distributed algorithms to drive improvements in throughput, latency, and resource efficiency.
Leverage hardware/software co-design to unlock new performance capabilities, translating knowledge of modern server architecture into software enhancements.
Measure the impact of the work through benchmarking, statistical analysis, and production A/B testing to validate performance gains and demonstrate cost savings.
Lead investigations into performance anomalies and production incidents, performing root-cause analysis that traces issues from application reasoning down to hardware behavior.
Apply Machine Learning (ML) techniques to automate performance diagnostics and tuning, and architect data systems to efficiently support Machine Learning (ML) workloads from feature engineering to inference.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.