Hardware Reliability Engineer – System & NPI Focus

Socket.dev

Austin (TX)

On-site

USD 144,000 - 208,000

Full time

5 days ago
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Job summary

Google is seeking an Hardware Reliability Engineer to manage the hardware reliability of new machine learning, server, networking, and storage products. You will perform early system configuration analysis and simulations to assess reliability capability and plan configurations for rugged environments.

You will define and implement ongoing reliability programs, engage with system architects, and drive reliability plans across product development and contract manufacturing, shaping the future of

Qualifications

  • Bachelor's degree in Reliability, Electrical, Industrial or Mechanical Engineering, or equivalent practical experience.
  • 8 years of experience with reliability engineering.

Responsibilities

  • Lead analysis of system hardware designs to enable proactive design evaluations and product de-risk at an early stage of development.
  • Lead system reliability efforts by defining reliability goals and reliability plans, securing the resources needed to execute the plan.
  • Develop mission profiles for chassis, rack from integration sites to field (data centers) that help predict field reliability.
  • Implement the reliability plan and lead all efforts to assess and mitigate risk of failure early during new product introduction (NPI).
  • Drive reliability test plans and collect, analyze, and synthesize the test data to enable verification of the design reliability goals.

Skills

Reliability engineering
RBDs (Reliability Block Diagrams)
MCF (Mean Cumulative Function)
HPP/NHPP (Poisson processes)
Simulation tools
Accelerated life testing
Reliability modeling
Reliability statistics
Mission profile development
Failure analysis
Statistical analysis (JMP)

Education

Bachelor's degree in Reliability, Electrical, Industrial or Mechanical Engineering, or equivalent practical experience.

Tools

JMP

Job description

Google is seeking an Hardware Reliability Engineer to manage the hardware reliability of new machine learning, server, networking, and storage products. You will perform early system configuration analysis and simulations to assess reliability capability and plan configurations for rugged environments.

You will define and implement ongoing reliability programs, engage with system architects, and drive reliability plans across product development and contract manufacturing, shaping the future of

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