Senior Software Engineer, Location and Context, Android

Senior Software Engineer

Location and context : Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA. Minimum qualifications : Bachelor's degree or equivalent practical experience. Five years of experience with software development in one or more programming languages. Three years of experience in testing, maintaining, or launching software products, and one year of experience with software design and architecture. Preferred qualifications : Master's degree or PhD in Computer Science or related technical field. Five years of experience with data structures / algorithms. One year of experience in a technical leadership role. Experience in Android app or OS development. Knowledge of location and activity recognition technologies.

About the Job

The Android Location team works with massive datasets to tangibly improve location for billions of users' mobile devices. We work with on-device algorithms, server side ML training, GPS, WiFi, accelerometer, gyro, and other on-device signals. Use cases include powering apps like Google Maps, Location Sharing, Rideshare, location based games, and helping users in emergency situations (e.g., when dialing 911, earthquake detection and alerts, and more.) In this role, you will work within a local team and with remote teams across Google to enable more accurate, reliable, timely, and power efficient location experiences across the Android platform and Pixel devices. You'll use Google's extensive development tools to build and extend the end user experience of using Location on Android. You will leverage exciting new AI technologies and frameworks to build features that power magical moments for users based on their location and other ambient context. We are a high performing, executive team with a long tenure. We look forward to you joining the team!

Responsibilities

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Build end to end, user-facing features which utilize location awareness and AI to deliver magical moments for users. Develop new algorithms, and update existing software, with good integration testing and documentation, in alignment with organizational goals, in support of end user and internal team needs. Improve software systems in alignment with evolving best practices across the Android Location and adjacent organizations.

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