Senior Hardware TPM: NPI & Test Engineering

Google

Seattle (WA)

On-site

USD 163,000 - 236,000

Full time

5 days ago
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Benefits offered by this job

Health benefits
Retirement plan
Paid time off
Sick time
Maternity leave
Baby bonding
Holidays

Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary projects for hardware and data center testing. You will plan requirements, identify risks, manage schedules, and clearly communicate with cross-functional partners.

The role emphasizes test engineering and manufacturing strategy to ensure quality and reliability at scale. You will bridge Hardware, Software, and Operations, guiding test strategies and system performance while supporting AI infrastructure deployment.

Qualifications

  • Bachelor's degree or equivalent practical experience in a technical field.
  • 5+ years of program management experience.
  • Experience driving NPI and hardware manufacturing.
  • Experience with test engineering or data center products.

Responsibilities

  • Develop and manage project plans, timelines, and budgets for test development.
  • Translate manufacturing test requirements into effective test strategies.
  • Identify risks and ensure on-time delivery across teams.
  • Communicate status with stakeholders via reviews and dashboards.
  • Align hardware, software, and operations on test development goals.

Skills

Program management
Test engineering
Hardware development
Data center products
Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

ICT testing equipment

Job description

Google is seeking a Technical Program Manager to lead multi-disciplinary projects for hardware and data center testing. You will plan requirements, identify risks, manage schedules, and clearly communicate with cross-functional partners.

The role emphasizes test engineering and manufacturing strategy to ensure quality and reliability at scale. You will bridge Hardware, Software, and Operations, guiding test strategies and system performance while supporting AI infrastructure deployment.

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