Senior Software Engineer, Full Stack, Android Safety Technology

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience with software development in Java programming language.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience testing, maintaining, or launching software products in the Android platform and ecosystem, and 1 year of experience with software design and architecture.

• Master's degree or PhD in Computer Science or related technical field.
  
• 1 year of experience in a technical leadership role.
  
• Experience developing accessible technologies.
  
• Experience in machine learning, C++, Kotlin, Algorithms, Low Power Computing.
• Experience in on-device sensor 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.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

• Use Google's and Android's infrastructure to build algorithms, and machine learning models that serve more than 2 billion daily active users.
• Build algorithms and machine learning models to launch on Android.
• Propose, discuss and prototype solutions. Build the tooling necessary for the above investigations and launches.
• Help monitor and maintain our production systems.