Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience in hardware development or developing code/data analyses related to hardware, or 1 year of experience with an advanced degree.
- Experience in root cause analysis and corrective action documentation.
- Experience in technical communication.
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- ASQ certification (e.g., CRE, CQE, etc.).
- Experience working at multiple stages in the product life cycle.
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About the job
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 .
Responsibilities
- Navigate and synthesize product datasets (e.g., telemetry, reliability results, focus area, field returns, customer sentiment, etc.) to identify and motivate areas for product improvement.
- Identify true root causes to systemic issues by leveraging all available data sources, including focus area, and referring to cross-product and generation-over-generation information. Distill findings into a clear problem statement.
- Collaborate with cross-functional teams to develop mitigation strategies, and identify pathways to validate these strategies.
- Recommend and drive corrective action to improve future products.