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 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.
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.
The US base salary range for this full-time position is $99,000-$140,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering or equivalent practical experience.
- 3 years of experience working as a photographer/videographer.
- Experience with systems integration and validation processes.
Preferred qualifications:
Proficiency in C++ or Python programming languages.
- Knowledge of hardware engineering including design, development, and testing of physical components of a computer/device, and how to interact with the software.
- Knowledge of computational photography and photonics engineering.
- Knowledge of hardware architecture design and component interactions, how design choices affect components and systems, standards and protocols, and the ability to navigate trade-offs.
- Ability to learn technical concepts of imaging processing pipelines.
- Ability to learn processes involved in programming/updating prototype devices.