Senior Software Engineer, Location, Android

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
  
• Experience in Sensor Fusion, Signal Processing, Inertial Measurement Units, Low Power Computing.
  
• Experience developing accessible technologies.
  
• Knowledge of location and activity recognition technologies, especially on mobile devices (iOS or Android.)
  

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.

In this role, you will work with local and remote teams across Google, to enable more accurate, reliable, timely and power efficient location experiences, across the Android ecosystem, and Pixel devices. You'll use Google's extensive development tools, to build and extend the end user experience of using Location on Android, all the way from external user interfaces, to ML-algorithm development on server and client, to improvements in internal custom tooling and visualization.

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 $166,000-$244,000 + 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.

• Develop new algorithms, and update existing software, with good integration testing, documentation in alignment with organizational goals, enabling new and more reliable end-user location experiences.
  
• Maintain and improve Android and Google Play Services Location core OS software, various client side apps, and server side tools and systems to measure, analyze, visualize, and automate root cause analysis of issues and potential improvements for end user location experience.
  
• Improve software systems in alignment with evolving best practices across the Android Location and adjacent organizations.
  
• Integrate rapidly evolving LLM/AI systems into relevant systems, from ML algorithm improvements, to optimizing development velocity across a broad organization.