Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a similar technical field of study, or equivalent practical experience.
  
• 2 years of experience testing embedded software on SoC on Linux, Android, RTOS, or BareMetal, including experience with hardware architecture, board schematics, protocols and standards.
  
• 2 years of experience in testing and debugging embedded software.
  

Preferred qualifications:

• Experience in coding (e.g., Python) and linear programming.
  
• Excellent programming skills in Java, C/C++, or JNI.
  
• Passion for writing well tested and maintainable code.
  

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.

You use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, accessibility, privacy, and other advanced quality concepts across products.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Drive specific Embedded test domains within silicon software.
• Create and implement test strategies by working with development teams to identify risk areas and fill the testing gaps.
• Create test content for embedded modules such as Memory systems, CPU, Peripherals, Low power modes, Virtualization and Security. Generate test content for testing AI/ML model functionality and performance.
• Automate tests using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements.
• Triage and analyze test results and incoming feedback to identify areas for improvement.