Data Center Quality Engineering Manager

Google LLC

Austin, TX

JOB DETAILS
SKILLS
8D, Android, Artificial Intelligence (AI) Programming Languages, Channel Strategies, Cloud Computing, Coaching, Communication Skills, Computer Engineering, Computer Science, Consulting, Cross-Functional, Data Collection, Electrical Engineering, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Trials, Genetics, Government, ISO 9001, Incident Response, Leadership, Lean Six Sigma, Manufacturing Operations, Mechanical Engineering, Mentoring, Network Architecture/Engineering, Network Operations Center, Operations Management, Optical Engineering, Optical Networking, Problem Solving Skills, Product Design, Product/Service Launch, Program Planning, Project/Program Management, Quality Engineering, Quality Management, Recruiting/Staffing Agency, Regulatory Requirements, Root Cause Analysis, Sales Management, Security Architecture, Software Engineering, Structured Analysis, Supply Chain Management, Team Lead/Manager, Technical Leadership, Telecommunications, Vehicle Fleets
LOCATION
Austin, TX
POSTED
30+ days ago

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Data Center Quality Engineering Manager

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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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.

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.

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 Clouds 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.The US base salary range for this full-time position is $171,000-$248,000 + 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

  • Provide expert-level technical direction for quality engineering, defining the goal across global regions and multiple data center product lines.

  • Lead high-performing teams to optimize data center workflows, enhancing the speed and reliability of hardware deployments while eliminating systemic inefficiencies.

  • Formalize feedback loops between field observations and product design to mitigate recurring hardware issues and evolve damage control programs.

  • Own complex root cause analyses for critical, ambiguous technical issues, ensuring robust product quality and predictable fleet-wide deployment.

  • Translate complex performance data and risk assessments into actionable strategic roadmaps and investment justifications for director and VP-level leadership.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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