Testing Engineering, Manufacturing (AI)

Company Description

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 people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES：

1. Contribute 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. Collaborate 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. Prepare technical documentation and project reports to support digital transformation and intelligent manufacturing strategies.

Qualifications

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

Additional Information

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available HERE

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 at jobs.accommodations@wdc.com to 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.

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 at jobs.accommodations@wdc.com to 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 to WD Ethics Helpline or email compliance@wdc.com.