Hardware Test Engineer, Pixel Camera

• Bachelor's degree in Electrical Engineering or Optics or Computer Science or Information Engineering or Image Processing or Human factors engineering or equivalent practical experience.
• 5 years of experience with test methodologies, planning, execution, reporting and software testing (e.g., unit testing, integration testing, system testing).
• Experience in any one programming language (e.g., Python, C++, C#).

• Master's degree in Electrical Engineering or Optics or Computer Science or Information Engineering or Image Processing or Human factors engineering or a related field.
• Experience in image quality testing (e.g., MTF, SNR, Color Accuracy, Sharpness, Distortion).
• Experience in automation testing frameworks (e.g., Selenium, Appium, Robot Framework).
• Understanding of the basic principles and common issues of mobile phone cameras.
• Ability to develop and maintain test scripts.
• Excellent communication, coordination, and teamwork skills.

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.

With your technical expertise, you create test plans for highly complex platforms (e.g., validating the interaction of multiple pieces of equipment at the networking and subsystem levels), and using your deep knowledge of component design characteristics, you diagnose highly complex hardware or software issues.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

• Develop camera automation lab control sequence and maintenance related to camera sensor, Voice Coil Motor (VCM), optics component characteristics and their Critical User Journal (CUJ) scenarios.
• Test methodologies and tools development for image quality data statistics/analysis by Python or C++ or C#.
• Conduct camera related validation and benchmarking with insight deliverable, drive corrective action and report bugs during verification.
• Enable cross-functional team communication and alignment to highlight the validation risk and deliver competitiveness analysis insight for product production and design.