Global Hardware Reliability Engineer — Shape AI Hardware

Google Inc.; Austin (TX); On-site; USD 144,000 - 209,000; Full time

Job summary

Google is seeking a Hardware Reliability Engineer in Austin, TX to manage hardware reliability across machine learning, servers, networking, and storage products. You will perform early configuration analysis, simulations, and reliability planning to ensure designs meet field requirements.

Role involves DFR, accelerated stress tests, and statistical needs for reliability, with collaboration across product teams.

Qualifications

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

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 working with other organizations to define 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

Statistical analysis

Physics of failure

Failure analysis

System-level reliability

Education

Bachelor's degree in Reliability/ Electrical/ Industrial/ Mechanical Engineering

Master's degree or PhD in Reliability/ Electrical/ Industrial/ Mechanical Engineering

Tools

Reliability Block Diagrams (RBD)

Mean Cumulative Function (MCF)

HPP/NHPP

Simulation tools

JMP

Job description

Google is seeking a Hardware Reliability Engineer in Austin, TX to manage hardware reliability across machine learning, servers, networking, and storage products. You will perform early configuration analysis, simulations, and reliability planning to ensure designs meet field requirements.

Role involves DFR, accelerated stress tests, and statistical needs for reliability, with collaboration across product teams.