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.

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.