Test Engineer, System Test
Google· Internet & Cloud Services· Jul 28, 2026 · 3mo agoPosted 91 days ago
Mountain View, CA, USA
In office
Full-time
Mid
$130K–$175K est.
3+ years exp
Before you apply
Ghost Signal:
Open since July 28, 2026 — 91 days, and still accepting applications.
Job description
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.
Pixel Test Engineering encompasses all aspects of pixel products testing. As part of our organization, the System Test team is tasked with producing, monitoring, and maintaining quality signals in functional and non-functional domains of power, thermals, performance, battery charging, and storage for all pixel products, including pixel phones, foldables, hearables, and wearables. The team has also expanded into companion application testing for first party ecosystem products, such as hearables.
As a Test Engineer, you will be responsible for designing and developing test strategies, test plans, test cases, test automation, infrastructure, and processes in our test domains, to enable consistent, reproducible test results to serve as quality signals for product teams to evaluate and ready the products for release.
In this role, you will have opportunities to work with a team of engineers to develop test strategies, test automation, and positively impact product quality.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Builds partnerships with stakeholders to drive the development of test strategies for next generation 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 process, propose new quality metrics, and optimizations of test automation, including leveraging Machine Learning and AI capabilities.
• Scale existing and new test strategies into new projects and in the market to support seven year pixel updates.
• Bachelor's degree or equivalent practical experience.
• 3 years of experience in Python.
• 3 years of experience in system testing and automation testing for embedded products (e.g., phones, SoCs, or similar).
• Experience in applying AI/ML in test automation, triage, or data analytics.
• Experience in USB, battery management, power, or thermals on Android devices.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 3 years of experience in Python.
• 3 years of experience in system testing and automation testing for embedded products (e.g., phones, SoCs, or similar).
• Experience in applying AI/ML in test automation, triage, or data analytics.
• Experience in 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.
• 3 years of experience in specialized testing such as production testing, system integration testing, etc.
• 1 year of experience working in a complex, matrixed organization.
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