Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging.
- Experience with failure analysis techniques and tools.
- Experience in embedded systems.
- Experience in test automation.
Preferred qualifications:
- Master's or PhD degree in Computer Science, Electrical Engineering, or a related field.
- 3 years of experience working in a complex, matrixed organization.
- 2 years of experience providing technical leadership and leading projects (e.g., test, release, etc.).
- 1 year of experience working with executive leaders.
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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $150000 - $218000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the utilization or development of automation tools or scripts to improve product and engineering health.
- Develop test plans based on product excellence/test strategies. Lead test plan reviews with engineers and other stakeholders across teams.
- Define the test framework, test preconditions, and other test control and reporting functions to enable others to test functionality.
- Drive opportunities and lead efforts to improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment.
- Participate in product design review with product managers, software/hardware engineers, and other stakeholders to contribute to product design, testability, and implementation.
