Data Center Quality Engineering Manager
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.
The mission of the Data Center Quality Engineering team is to identify and resolve product and process issues in the data center to ensure high quality deployments and reliable hardware that meet Google Cloud’s time to market (TTM) need. We exist in the data center to gather data, find root cause, and collaborate to create solutions that make our partner teams successful.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $248000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
The mission of the Data Center Quality Engineering team is to identify and resolve product and process issues in the data center to ensure high quality deployments and reliable hardware that meet Google Cloud’s time to market (TTM) need. We exist in the data center to gather data, find root cause, and collaborate to create solutions that make our partner teams successful.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $248000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 10 years of experience in hardware quality engineering, manufacturing operations, or hyperscale data center environments.
- 3 years of experience managing technical teams of engineers or technicians in infrastructure.
- Experience using structured root cause analysis (RCA) methodologies (e.g., 8D or 5-Why) to resolve hardware failures.
Preferred qualifications:
- 10 years of experience in data center infrastructure or operation.
- Experience leading cross-functional problem-solving teams using practical approaches.
- Experience coaching and mentoring technical teams, fostering a culture of continuous learning and data-driven decision-making.
- Proficiency in quality improvement frameworks like Six Sigma, Lean, or ISO 9001 to manage hardware lifecycle standards.
- Ability to communicate complex technical findings into actionable executive summaries for cross-functional leadership and partner teams.