Google's Manufacturing Operations team is responsible for providing the manufacturing capability to deliver state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.
Requirements
- 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.).
- Experience in data analysis and visualization using SQL, JMP, R, Matlab, Tableau, PowerBI or Python+
- Experience with technical leadership, project management, and executive communication.
Responsibilities
- Provide technical leadership, set priorities, complete root cause analysis, and drive resolution of technical issues for exceptional product quality, predictable field deployment results, and reliability.
- Initiate, drive, and implement innovative product, process, tools development/improvement projects, separately and in a cross-functional environment.
- 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.
Other
- 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 leading cross-functional engineering teams.
- Ability to travel up to 20% of the time.
- Master's degree in Computer Science, Computer Engineering, Mechanical, Electrical, Industrial, Materials or a relevant Engineering discipline.
- Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
