Platform Test Engineer: Automation & Embedded Systems

Google; Austin (TX); On-site; USD 126,000 - 181,000; Full time

Job summary

Google is seeking a Test Engineer to automate testing, write scripts, and build tools that empower developers to test their code. You will navigate Google's vast codebase to identify weak spots and design creative ways to break software, impacting the quality of its products and services.

Google Cloud and Core Systems teams focus on diagnostics, hardware health, and machine management, delivering tools that ensure machines are healthy and service-ready throughout their lifecycle.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of coding, developing test methodologies, writing test plans, creating test cases, and debugging.
• 2 years of experience in embedded systems.

Responsibilities

• Utilize or develop automation tools or scripts to improve product and engineering health.
• Develop test plans based on Product Excellence/test strategy. Conduct test plan reviews with engineers within one or multiple teams.
• Define the test framework, test preconditions, and other test control and reporting functions to enable others to test functionality.
• 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.

Skills

Coding

Test methodologies

Test planning

Test case design

Debugging

Embedded systems

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Test Engineer to automate testing, write scripts, and build tools that empower developers to test their code. You will navigate Google's vast codebase to identify weak spots and design creative ways to break software, impacting the quality of its products and services.

Google Cloud and Core Systems teams focus on diagnostics, hardware health, and machine management, delivering tools that ensure machines are healthy and service-ready throughout their lifecycle.