Test Engineer, XR Power, Performance
Summary
Test Engineer on Google's XR team working on power and performance testing for AR/VR devices like smart glasses. Write automation scripts and develop test infrastructure using Python, C++, or Java; perform Android/Linux system-level testing and performance profiling to improve product quality for cutting-edge XR hardware.
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
- 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.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in automation scripting, developing automated test scripts and in Python, C++ or Java.
- 3 years of experience in the Android/Linux system-level testing, focusing on firmware, drivers, and underlying OS stability.
- 2 years of experience providing technical leadership and leading projects (e.g., test, release, etc.).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field.
- 3 years of experience in power measurement utilizing hardware power monitors to measure micro-amp level consumption.
- 3 years of experience in stress and reliability.
- 3 years of experience with performance profiling and proficient in Android performance analysis tools (Perfetto, systrace, logcat, bugreport, and memory profilers).
- 1 year of experience in AI-driven execution, driving overall testing efforts and utilizing AI tools to map out test pipelines, automate test generation, and accelerate triage workflows.
- Proven background in designing and executing environmental stress testing and thermal cycling.