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Engineer, Analytical & Characterization Engineering

Engineer, Analytical & Characterization Engineering

Western Digital
Fresher
Not Disclosed
  • Posted a day ago
  • Be among the first 10 applicants

Job Description

Job Description

Job Summary

Supports characterization and validation testing activities by executing test procedures,collecting engineering data,performing data analysis,assisting indebugging and failure analysis.Appliesvalidationmethodologies and tools to support product qualification and reliability assessment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Supportcharacterization test forengineering changes, firmware/ code, andengineering changes qualification
  • Execute tests with understanding of purpose and capture meaningful observations and failure context beyond pass/fail results
  • Monitor running tests andidentifyabnormal behaviors or interruptions
  • Analyzetest results,performfailure analysis,and provide engineeringrecommendations
  • Highlight anomalies and escalate potential quality concerns
  • Support failure analysis and root-cause investigation with guidance from senior staff.
  • Maintainand updatetest scripts and methodologies under guidance
  • Follow test methodologies, checklists, and quality standards
  • Track assigned tasks and report status to team members
  • Support factory or customer issue investigation as assigned
  • Develop tools/script for test process improvement
  • Participate in training and continuously develop technical skills

Qualifications

REQUIRED

  • Bachelor's degree in Computer Engineering, Electrical/Electronic Engineering, Computer Science or equivalent
  • Fresh graduate or ≤2 years relevant experience

    PREFERRED:

  • Basic programming knowledge (Python, C/C++, or scripting)
  • Familiarity with Linux environment is an advantage
  • Exposure todata analysis tools (Excel, MATLAB, Power BI, etc.)
  • Interest in automation or AI-assisted engineering tools
  • SKILLS
  • Willingness to learn and take feedback
  • Good attention to detail and execution discipline
  • Basic analytical and troubleshooting ability
  • Good communicationand teamwork
  • Organized and responsible in completing assigned tasks

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us atto advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately toor email .

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About Company

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today. We're looking for peoplewho want to build, solve, and operate at that level. Join us and let's shape the future of data.

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