Software Engineer, Pixel Camera App, Data

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in Java.
• 2 years of experience with data structures or algorithms.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• Experience in SQL.
• Experience developing accessible technologies.
  

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.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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.

• Make Pixel Camera usage and performance data universally useful and accessible.
• Maintain and extend the telemetry pipeline, and ensure reported data reflects the ground truth, even as new external factors and confounders come to light.
• Improve pipeline latency and reliability and Improve program processes to ensure data integrity and consistency.
• Work with feature teams to ensure advanced new functionality always contributes valid usage and performance data.
• Build new pipelines, analyses, and dashboards to support critical decision-making across the program.