Google welcomes people with disabilities.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program management.
- 5 years of experience working with data in a data engineer, or data scientist role.
- Experience in analyzing data using programming languages and analysis tools (e.g., Python, R, JMP).
Preferred qualifications:
- Master's degree in Electrical Engineering, Computer Science, or a related field.
- 10 years of experience as a data engineer in related semiconductor companies.
- Experience with silicon testing and yield methodologies, test data formats (ex: STDF), and common silicon analysis techniques.
- Experience with Colab or Jupyter Notebooks, with an understanding of SQL for data validation and querying.
- Experience gathering and documenting analysis requirements from stakeholders, translating them into actionable specifications, and soliciting feedback for continuous improvement.
- Excellent data analysis and visualization skills using Python, Pandas, and libraries like Matplotlib, or Plotly.
About the jobAs a Process and Yield Engineer for Custom Silicon you will join the team responsible for High volume Custom Silicon Manufacturing to build a data visualization system for semiconductor production including building customized scripts and enabling big data query. Yield and process improvement and scrap optimization, manufacturing performance, quality and excursion management and prevention, value engineering, change control management, new production site qualifications for alternate sourcing and business continuity. HVM capacity readiness, cycle time optimization and more!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.
Responsibilities
- Lead the end-to-end development for custom data tools and dashboards for custom silicon engineers, from requirements gathering and prioritization through prototyping and deployment.
- Improve data analytic efficiency utilizing internal AI workflow or create agentic AI tools.
- Develop and manage processes and automated systems for monitoring silicon data quality from Contract Manufacturers (CMs) and internal sources, ensuring data integrity for engineering analyses.
- Act as the key technical liaison between custom silicon and data platform teams, advocate the creation and iterative improvement of custom analytical tools and dashboards driven by user feedback.
- Leverage deep knowledge of the custom silicon data ecosystem (including data sources, pipelines, database structures, data integrity, etc.) to manage projects, troubleshoot issues, and lead the technical integration of custom dashboards and investigative features into a data platform.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
