About the job

Be 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.

We ensure every component, system, and deployment meets the highest standards, delivering trusted, resilient, and enduring hardware to power our infrastructure, and develop and sustain exceptional contract manufacturers worldwide to consistently deliver high quality hardware products for our data centers.

Google Cloud is powered by advanced compute, network, storage, and AI platforms, built on one of the world’s largest and most sophisticated Technical Infrastructures (TI). The Cloud Supply Chain and Operations (CSCO) teams are responsible for the fast and efficient deployment of this infrastructure.

The Global Hardware Quality and Reliability (GHQR) team within CSCO is critical. It ensures predictable quality and reliability across all hardware components, systems—including TPU/GPU AI platforms—and data center infrastructure. This hardware is the backbone of Google Cloud and its AI/ML capabilities, directly contributing to Google's participant edge.

You will travel to the US, Mexico in North America and the Europe region.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead quality qualification for new CMs and NPIs, validating Quality Management Systems (QMS), equipment, and environmental controls like Cleanrooms and Electrostatic Discharge (ESD).

• Act as the primary global Quality POC, driving accountability through quarterly business reviews, and KPIs.

• Oversee QMS audits and structural change management to standardize quality output and proactively mitigate production risks.

• Drive continuous improvement and LEAN initiatives using advanced problem-solving to execute Root Cause Analysis (RCA) and Corrective and Preventive Action (CAPA).

• Manage complex project portfolios and synthesize data into executive presentations to align Engineering, Supply Chain, and Product teams.

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 a related engineering field.

• 5 years of experience in Quality or Manufacturing or Product Engineering of cloud hardware technology or electronic hardware systems.

• Ability to travel up to 20% of the time.

Preferred qualifications

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials or other relevant engineering field.

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

• Experience leading cross-functional engineering teams using a practical and solution-oriented approach.

• 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 and in manufacturing ESD and auditing.