Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++, Java, Python, Kotlin or Go. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience with Android or iOS application development. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience in Augmented Reality (AR) and Virtual Reality (VR) development. Experience in Android Open Source Project (AOSP). About the job 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Drive the strategic design and evolution of Jetpack XR architecture. Partner with Engineering Productivity to optimize Continuous Integration (CI)/Continuous Delivery (CD) pipelines and minimize manual quality assurance (QA) through automation.