Minimum qualifications:- Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.
- Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
- 5 years of experience in quality, manufacturing, product engineering of cloud hardware technology or electronic hardware systems.
- Ability to travel up to 25% of the time as needed.
Preferred qualifications:- Master's degree or PhD in electrical, mechanical, industrial, materials, or other relevant engineering field.
- Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
- Experience with manufacturing and field issue debug, root cause analysis, and corrective actions.
- Experience with advanced statistical (or statistics-based) methodologies (e.g., design of experiments, statistical process controls, six sigma, etc.).
- Experience in technical leadership, project management, and executive communication.
About the jobBe 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.
In this role, you will collaborate with internal teams and manufacturing partners to build quality into every stage of product development, establish processes, and track and resolve field issues. This position requires an understanding of modern data center hardware, including design, manufacturing, and testing.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $120000 - $172000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Own the overall product quality process, spanning internal and external development through successful deployment and production at scale and ensuring consistent quality across all stages.
- Develop predictive failure models, track key quality metrics, and extract actionable insights using advanced analytics and statistical methods.
- Lead the resolution of product issues during manufacturing and field operations using structured problem-solving techniques such as eight disciplines (8D).
- Communicate with cross-functional teams and management, distilling technical information into clear, concise presentations to facilitate informed decision making and drive alignment on quality initiatives while providing regular updates and reports on quality metrics and improvement initiatives.
- Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with stakeholders, and develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.
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