Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Industrial Engineering, or Mechanical Engineering, a related technical field, or equivalent practical experience.
- 5 years of experience in hardware quality for server, PC, networking device, consumer electronics, automotive, or other industrial products.
- Experience with system development, manufacturing processes, and test and debug methods.
- Ability to communicate in English fluently to support client relationship management in this region.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Industrial Engineering, or Mechanical Engineering, or in a related technical field.
- Certifications in American Society for Quality (e.g., CQE, CQM, CRE, or CQA) or equivalent.
- Experience with Printed Circuit Board Assembly (PCBA) manufacturing and server computer system integrations, and with IPC standards for PCBA (e.g. IPC-A-610).
- Experience with quality methods and tools such as DFMEA/PFMEA, cause-effects diagrams, Pareto charts, control charts, scatter diagrams, box plots, histograms, stratification, flow charts, 8D report, and analysis tools (e.g., JMP, mini-tab).
- Ability to communicate in Mandarin fluently to support client relationship management.
As the Product Quality Engineer you will support Google’s technologies used by data centers that support Google services, including Google Cloud Platform. In this role, you will join the team responsible for setting and managing the product quality standards and metrics for Google’s data center infrastructure. You will be involved with tools and techniques used to introduce new products by identifying quality risks, delivering quality products, and managing sustaining products. You will create the processes, tools and procedures to help improve our products and manufacturing process. In addition, you will analyze the product field performance data from data centers, and provide analysis and enhancement to improve product quality. You will work with various design and manufacturing engineering teams, product operations, and supply chain teams to ensure the product represents the very best of Google's brand.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
- Lead and manage the product hardware quality for data center hardware infrastructure throughout the product life-cycle, including qualification through manufacturing test and data center deployment, life-cycle and change management, and additional supplier/production site and line qualification.
- Lead achievement of system level product quality goals from concepts through end-of-life. Provide technical leadership, set priorities and drive resolution of technical issues for an excellent product quality and field deployment.
- Analyze manufacturing and field quality/reliability data to extract insights and areas of opportunity for continuous improvement.
- Initiate, drive, and implement excellent product, process, tool development/improvement projects, separately and in a cross-functional environment.
- Monitor, review, and present product performance data and metrics to stakeholders in a way that enables data-driven decision making.
