Jobs · Engineering · California

Reliability Integration and Failure Analysis Engineer

WD · San Jose, CA · 2 days ago
On-siteEngineeringFull-time

About the role

WD is seeking a Drive Failure Analysis and Reliability Integration Engineer to join the Hyperscale HDD Development Team. This role is part of WD's early career development program.

Responsibilities

  • Analyze failures from manufacturing, engineering validation, and reliability testing to support root-cause determination.
  • Partner with HDD Development Engineering, Manufacturing, Customer teams, and Reliability partners to define analysis plans and next steps.
  • Use bench electrical failure analysis measurements, characterization data, and manufacturing data to determine likely failure causes.
  • Document failure analysis data, summarize findings, and communicate conclusions to technical stakeholders.
  • Apply programming and data analysis skills to improve reporting, trend analysis, and engineering efficiency.
  • Support corrective action discussions that improve product reliability, quality, and recurrence prevention.

Qualifications

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Data Science, Engineering, or a related technical field.
  • Academic, internship, project, or research experience involving data analysis, electronics testing, reliability, hardware, manufacturing, or technical problem solving.
  • Familiarity with one or more programming or analysis tools such as MATLAB, TCL, Python, R, C, or C++.
  • Strong organization, problem-solving, communication, and presentation skills.
  • Ability to multitask, take direction, and collaborate effectively within a technical team.
  • Experience with Microsoft Office applications.

Preferred

  • Exposure to electronics test equipment, data extraction, data visualization, statistics, hardware debugging, or manufacturing analytics.
  • Interest in HDD, semiconductor, storage, reliability engineering, failure analysis, or product development.
  • Internship, research, capstone, lab, or project experience that required technical documentation and data-based recommendations.

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