Staff Engineer, Android, Pixel Telephony and Cellular Connectivity

As part of a team dedicated to developing custom silicon solutions for Google's direct-to-consumer products, you will contribute to the innovation of products used by millions globally. Your responsibilities will include designing, developing, testing, deploying, maintaining, and enhancing system solutions, with a particular focus on improving the cellular connectivity experience of Pixel phones and other devices. Your expertise will play a crucial role in shaping the next generation of hardware experiences to ensure unparalleled performance, efficiency, and integration. Collaborating with teams, you will analyze connectivity metrics data points, identify areas for improvement, and develop new features and frameworks for optimization. - Work on connectivity specific metrics across the stack to propose and design new cellular connectivity features in Android applications or in the Android framework for Pixel devices, including additional software components on the server side. - Lead metrics recommendation to monitor the performance of Pixel devices, validate implementations, and detect issues that may impact user experience or device performance. - Utilize advanced machine learning techniques to automate data analysis, identify anomalies, and uncover hidden patterns. - Benchmark Pixel cellular power performance, investigate anomalies, and propose and implement performance optimizations across the stack. - Take ownership of and drive improvements for connectivity metrics, alerts, visualizations, and data-motivated insights. Qualifications Required: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience. - 6 years of experience with 4G/5G cellular protocols or Android Connectivity. - 5 years of experience in testing and launching cellular products. - 3 years of experience in a technical leadership role. - Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience (preferred). - Experience in machine learning or connectivity improvements (preferred). - Experience in analyzing connectivity metrics data points to identify areas for improvement (preferred).,