The role
From Google's own posting.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
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, 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 deeply with other teams to ensure data integrity and for root cause analysis for performance issues.
Minimum qualifications:
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 (e.g., data structures, algorithms, and software design).
Preferred qualifications:
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.
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 (e.g., data structures, algorithms, and software design).