Hardware Engineering Manager — Fleet Analysis & Triage Lead

Google Inc.

Sunnyvale (TX)

On-site

USD 188,000 - 274,000

Full time

19 hours ago
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Job summary

Google invites applications for an Hardware Engineering Manager position within the Platforms Infrastructure Engineering group, located in Sunnyvale, TX. You will design and oversee fleet analysis and central triage for data-center hardware, guiding critical reliability decisions and coordinating with customers, manufacturing, and partner teams.

The role emphasizes leadership in complex problem-solving, collaboration across engineering, supply chain, and data center teams, and shaping systemic

Qualifications

  • Bachelor's degree in Electrical/Computer Engineering or related field.
  • 6 years of hardware quality experience in data center/IT environment.
  • 3 years of technical leadership experience.

Responsibilities

  • Work with customers, data center teams, and manufacturing to understand and analyze hardware quality issues.
  • Partner with internal hardware and software teams and external vendors to triage and root cause hardware reliability issues.
  • Lead systemic changes to drive continuous improvement in fleet analysis and triage of hardware issues to improve speed to resolution.
  • Represent the Fleet Hardware Reliability team within the broader platforms design, deployment and supply chain organizations.

Skills

Leadership
Hardware quality
Data center hardware
Problem solving
Cross-functional collaboration

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, or related field

Job description

Google invites applications for an Hardware Engineering Manager position within the Platforms Infrastructure Engineering group, located in Sunnyvale, TX. You will design and oversee fleet analysis and central triage for data-center hardware, guiding critical reliability decisions and coordinating with customers, manufacturing, and partner teams.

The role emphasizes leadership in complex problem-solving, collaboration across engineering, supply chain, and data center teams, and shaping systemic

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