About the job

The Global Hardware Quality and Reliability team is responsible for accelerating end-to-end product introduction and delivering predictable product quality and reliability, directly contributing to Google's competitive advantage.

As a Product Quality Engineer, you will lead quality initiatives for our AI infrastructure. You will ensure the flawless operation of Google's AI infrastructure. This position spans the entire product life-cycle, from initial concept through volume production and end-of-life, focusing on hardware systems such as advanced AI and computer systems, networking equipment, and data storage solutions. You will collaborate with internal teams (design, test, manufacturing, operations, and product management) to ensure quality is built into every stage of product development. You will also work closely with manufacturing partners to establish robust, repeatable, and scalable processes and quality controls. You will track the field issues and strive for early identification and resolution, working with both internal and external partners, and ensure the integration of prior learnings into new product generations.

In this role, you will have an understanding of modern data center hardware infrastructure, including design (mechanical, thermal, electrical), manufacturing processes, and testing. You will lead cross-functional teams in a highly collaborative environment. You will break down complex problems into actionable steps and drive product development in a fast-paced setting. You will be comfortably extracting and analyzing data to generate insights and drive decisions. You will possess excellent communication and problem-solving skills and you will be comfortable presenting to executive leaders.

Responsibilities

• Assess suppliers capabilities from a quality perspective as part of new supplier selection activities. Conduct quality and manufacturing process audits at current and potential suppliers.

• Develop and execute the overall product quality strategy and assurance plans for next-generation AI hardware systems, collaborating with various stakeholders. Develop and manage comprehensive product quality requirements, scope, schedules, and deliverables.

• Own the overall product quality process, spanning internal and external development through successful deployment and production at scale, ensuring consistent quality across all stages.

• Lead the resolution of product issues during manufacturing and field operations using structured problem solving techniques such as 8D.

• Develop predictive failure models using advanced statistical methods. Track key quality metrics and extract actionable insights using advanced analytics and statistical methods.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Quality Engineering, or equivalent practical experience.

• 5 years of experience in manufacturing, electrical, mechanical, industrial, materials, or related engineering field.

Preferred qualifications

• Master's degree in Engineering or equivalent practical experience.

• Certified Reliability/Quality Engineer (CRE/CQE) certification or equivalent experience.

• 5 years of experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.

• 3 years of experience in Contract Manufacturer (CM) management.