Product Quality Engineer, Google Cloud
Job Summary
Job Description
- Bachelor's degree in relevant engineering field
- 5+ years hardware quality experience
- Experience with system development, manufacturing, testing
- Fluent English communication
- Lead product hardware quality throughout lifecycle
- Analyze data for continuous improvement
- Master's or PhD in relevant engineering field
- ASQ certifications (CQE, CQM, CRE, CQA)
- PCBA manufacturing experience
- Experience with DFMEA/PFMEA, etc.
- JMP, Minitab experience
5 skills required
Job Details
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 commercial/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).
- Excellent problem-solving, teamwork, and communication skills.
About the job
As a Product Quality Engineer supporting Google’s technologies used by data centers supporting Google services, including Google Cloud Platform, you will join the team responsible for setting and managing the product quality standards and metrics for Google’s data center infrastructure. You will establish quality programs from the ground up for products like computing and storage servers, computing accelerators, networking switches and many more . You will be involved in the tools and techniques used to introduce new products by identifying quality risks and deliver quality products, manage sustaining products and lead a cross-functional team in driving product improvements through the entire product lifecycle. You will create the processes, tools and procedures to help continuously improve products and manufacturing processes. You will analyze the product field performance data from the data center and provide analysis and actionable enhancement to improve product quality and reliability.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Lead and manage the product hardware quality for data center hardware infrastructure throughout the product lifecycle, including qualification through manufacturing test and data center deployment, lifecycle and change management, and additional supplier/production site and line qualification.
- Lead proactive 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 a robust 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 innovative 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 concise and clear way that enables data-driven decision making.
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