Data Center Quality Engineer

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.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

• 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.