Software Engineer, Pixel Mobile Wireless, Metrics Analysis Infrastructure

Google•Kirkland, WA

1d•$147,000 - $210,000

About The Position

As a Software Engineer on Google’s Pixel Mobile Wireless Metrics Analysis Infrastructure team, you will develop software and infrastructure for analyzing metrics across Pixel devices. You will design and productionize Android and server-side code, extend data pipelines and dashboards, and build statistical models to draw insights from collected data and detect anomalous fleet results. You will help maintain production data integrity and collaborate with other teams on analysis and performance issues. Google software engineers develop technologies and products that operate at massive scale across areas including distributed computing, system design, networking, data storage, and mobile. The Pixel team designs and delivers mobile experiences by bringing together Google AI, software, and hardware to build smartphones and services.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience working with data warehousing, data processing, or experiment analysis and metric tools.
2 years of experience working with distributed computing.
Experience with computer science fundamentals such as data structures, algorithms, and software design.

Nice To Haves

Experience designing, running, or analyzing A/B experiments or staged feature rollouts.
Experience working with hardware, firmware, embedded, or wireless teams to define and instrument metrics.
Background in cellular communications, telephony, or mobile device performance, such as power or connectivity.

Responsibilities

Design, implement, and productionize Android and server-side code for consumer products.
Extend and develop data pipelines that bring new metrics, dimensions, and device generations into dashboards.
Develop statistical inference models to draw insights from collected data and detect and alert on anomalous results from fleet reports.
Maintain data integrity through monitoring, alerting, backfills, and capacity planning that keep production systems healthy.
Collaborate with other teams to ensure data integrity and perform root cause analysis for performance issues.