Google is looking to solve the problem of ensuring consistent quality across all stages of product development, from internal and external development to successful deployment and production at scale, for its next-generation AI hardware systems.
Requirements
- Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.
- Experience with advanced statistical (or statistics based) methodologies (e.g., design of experiments, statistical process controls, six sigma etc.).
- Experience with manufacturing and field issue debug, root cause analysis and corrective actions.
- Understanding of modern data center hardware, including design, manufacturing, and testing.
- Experience leading cross-functional engineering teams using a practical and solution-oriented approach.
- Experience with technical leadership, project management, and executive communication.
- Experience in quality, manufacturing, product engineering of cloud hardware technology or electronic hardware systems.
Responsibilities
- Own the overall product quality process, spanning internal and external development through successful deployment and production at scale, ensuring consistent quality across all stages.
- Develop predictive failure models using advanced statistical methods.
- Lead the resolution of product issues during manufacturing and field operations using structured problem-solving techniques such as eight disciplines (8D).
- Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with stakeholders.
- Develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.
- Track key quality metrics and extract actionable insights using advanced analytics and statistical methods.
- 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.
Other
- Bachelor's degree in Mechanical Engineering, Industrial Engineering, Materials Engineering, a related engineering discipline, or equivalent practical experience.
- 5 years of experience in quality, manufacturing, product engineering of cloud hardware technology or electronic hardware systems.
- US and International travel up to 20% of the time.
- Excellent communication and data analysis skills.
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials or other relevant engineering discipline.
