Minimum qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Mechanical, Electrical, Industrial, Materials or a relevant Engineering discipline.
- 8 years of experience in quality, manufacturing, or product engineering of cloud hardware technology or electronic hardware systems.
- Experience with advanced statistical methodologies (e.g., Design Of Experiments (DOE), Statistical Process Controls (SPC), six sigma, Failure Mode and Effects Analysis (FMEA), Analysis Of Variance (ANOVA), Measurement System Analysis (MSA), Fishbone, etc.).
- Ability to travel up to 20% of the time as needed.
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience
- Experience setting up manufacturing assembly processes, driving product launches and assembly process optimization within manufacturing operations.
- Experience in technical leadership, project management, and executive communication.
- Experience in data analysis and visualization using SQL, JMP, R, Matlab, Tableau, PowerBI or Python+.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.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 force 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.
Responsibilities
- Define and execute data collection activities for high complexity technical issues.
- Drive process design, optimization, and qualification activities of a manufacturing process for a component, part, or product.
- Gather and analyze manufacturing/field data within the data center environment to extract actionable insights and continuous improvement opportunities.
- Monitor, review and present product performance data and metrics to stakeholders in a concise and clear way that enables data-driven decision making.
- Review, edit, improve, and create technical documentation such as deployment guides, population documents, and repairs guides based on data, investigations, technician feedback, and quality fundamentals.
