Senior Test Engineer, Platforms & Infrastructure Automation

Google Inc.; Austin (TX); On-site; USD 150,000 - 218,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Test Engineer to automate testing, write scripts, and build tools enabling developers to test their code. You will navigate a massive codebase, break software, and help improve quality across products and services.

The AI and Infrastructure team builds scalable, reliable testing infrastructure for TPUs, Vertex AI, and Google Cloud, with opportunities to influence design and testing strategies at scale.

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.

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.

Skills

Coding

Test automation

Failure analysis

Embedded systems

Debugging

Education

Bachelor's degree or equivalent

Master's or PhD (preferred)

Job description

Google is seeking a Test Engineer to automate testing, write scripts, and build tools enabling developers to test their code. You will navigate a massive codebase, break software, and help improve quality across products and services.

The AI and Infrastructure team builds scalable, reliable testing infrastructure for TPUs, Vertex AI, and Google Cloud, with opportunities to influence design and testing strategies at scale.