Western Digital: Testing Engineering, Manufacturing (AI) — Shenzhen, Guangdong Province, China

Western Digital lists a Testing Engineering, Manufacturing (AI) opening in Shenzhen, Guangdong Province, China. The position is listed as full-time. The job description covers Python, SQL, Power BI, data analysis, machine learning, AI, quality control.

Recruitment overview

OrganisationWestern Digital
Post / roleTesting Engineering, Manufacturing (AI)
Employment typeFull-time
Notification / job IDREF33510T
Job locationShenzhen, Guangdong Province, China
Work arrangementOn-site
Educational qualificationDegree / qualification: Master’s degree or above in Data Science, Computer Science, Statistics, Industrial Engineering, Automation, Mechanical Engineering, or related fields
Experience requiredEntry Level
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Western Digital

Western Digital develops and manufactures data-storage technology for data centres, cloud platforms and enterprise infrastructure. Its employer introduction connects this work with the need to retain, manage and access information generated by digital systems and AI applications. The business brings engineering and manufacturing together around the physical systems behind data storage. Its described purpose is to make growing volumes of information available over time, supporting the infrastructure on which other digital services depend.

The position and its setting

Western Digital lists Testing Engineering, Manufacturing (AI) in Shenzhen, Guangdong Province, China, under reference REF33510T. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Employment type: Full-time
  • Employer listing date: 13 October 2026
  • Brands: Western Digital
  • Business Function: Test & Validation
  • Work Location: Shenzhen Futian 1 Office

Responsibilities and work described

  • ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • 1
  • Contribution: to factory operation data analysis and implementation of intelligent solutions, including quality control and energy consumption, to identify and resolve business issues
  • 2
  • Use SQL, Python, and other tools for data extraction, cleaning, and analysis, and provide actionable insights via visualization tools such as Spotfire or Power BI
  • 3
  • Independently research and apply advanced algorithmic models (e.g., time-series forecasting, anomaly detection), evaluate their business value, and drive implementation in manufacturing scenarios
  • 4
  • Participate in AI application projects for manufacturing, including quality inspection, process optimization, and predictive maintenance, and support pilot rollouts
  • 5
  • Collaboration: with cross-functional teams to analyze business requirements and propose data-driven improvement solutions
  • 6
  • Apply NLP and machine learning methods for intelligent classification, root cause analysis, and model optimization
  • 7
  • Preparation: technical documentation and project reports to support digital transformation and intelligent manufacturing strategies

Essential requirements and candidate background

  • Master’s degree or above in Data Science, Computer Science, Statistics, Industrial Engineering, Automation, Mechanical Engineering, or related fields
  • Proficiency: at least one data analysis language (Python or R) and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Skills in data processing and SQL
  • Understanding and ability to apply machine learning and AI concepts (e.g., supervised/unsupervised learning, deep learning)
  • Analytical and problem-solving skills with logical thinking ability
  • Communication skills and ability to work effectively in multidisciplinary and cross-cultural teams
  • Proactive, motivated, and willing to drive practical applications of data and algorithms in real industrial settings

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • Work arrangement: On-site
  • Advertised location: Shenzhen, Guangdong Province, China

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Testing Engineering, Manufacturing (AI) vacancy is not an offer for reference REF33510T; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Western Digital

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official Western Digital posting below and match the title and reference REF33510T.

Compare your qualifications and experience with the essential conditions for the Shenzhen, Guangdong Province, China position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

  • Accommodation requests: [email protected]
  • Employer states that applications and employment offers do not require payment

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

  • Python
  • SQL
  • AI/ML
  • Power BI
  • data analysis
  • machine learning
  • AI
  • quality control
  • manufacturing
  • mechanical engineering

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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