Software Engineer, Location and Context, Android at Google

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

202000.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Java, Kotlin, Full Stack Development, Data Structures, Algorithms, Android Development, Machine Learning, GPS, WiFi, Accelerometer, Gyro, AI Technologies, Integration Testing, Code Review, Debugging

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor’s degree or equivalent practical experience. * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. * Experience with full stack Java or Kotlin development. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical fields. * 2 years of experience with data structures or algorithms. * 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 improve Location for billions of users' mobile devices. We work with on-device algorithms, server side Machine Learning (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. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Build 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. * Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Responsibilities

Build user-facing features that utilize location awareness and AI. Develop new algorithms and improve software systems in alignment with best practices.