Test Engineer, Android System Test

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in system testing and automation testing for embedded products (e.g., phones, SoCs, or similar).
• 3 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging.
• 2 years of experience in performance, USB, battery management, power, or thermals on Android devices.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Electrical Engineering, or a related field.
• 2 years of experience collaborating with cross-region and cross-functional teams to develop solutions.
• 1 year of experience in applying AI/ML in test automation, triage, or data analytics.

About the job

At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services. 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.

Responsibilities

• Build partnerships with stakeholders to align and drive the development of test strategies for next-generation and sustaining Pixel products and features.
• Deliver consistent test metrics and quality signals to present a comprehensive product quality signal to stakeholders and leadership teams.
• Identify, prototype, and lead efforts to improve test processes, propose new quality metrics, and optimize test automation, including leveraging Machine Learning and AI capabilities.
• Scale existing and new test strategies into new projects and In-Market to support Pixel updates.