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Salary
≈ $18k – $40k per year (Estimated)
Location
In office (Kuching)
Seniority
Junior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
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Western Digital is an American data storage company founded in 1970 that, since separating its flash memory business as SanDisk in early 2025, concentrates entirely on hard disk drives. Its drives are sold overwhelmingly to cloud and enterprise data centre operators rather than to consumers, and the company competes with Seagate in a market where areal density technologies such as shingled and heat-assisted recording determine cost per terabyte. Headquartered in San Jose and listed on Nasdaq, it has benefited from the sharp increase in storage demand created by artificial intelligence workloads.

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 SUMMARY

The Process Engineer is responsible for process development, optimization, qualification, and continuous improvement of substrate manufacturing processes to ensure stable, reliable, and high-quality output. Chemical, mechanical, and optical process parameters are monitored, analysed and optimized to achieve consistent substrate quality and performance. Process documentation, safety standards, and technician training are developed, while process projects, substrate characterization, and manufacturing capability development are supported.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Process parameters are developed, optimized, and maintained to achieve consistent product quality and meet specification requirements.
  • Process troubleshooting and root cause analysis are performed on quality issues, yield losses, and process excursions.
  • New process development and qualification activities are planned and executed for new product introduction and technology transfers.
  • Design of Experiments (DOE) and statistical analysis are conducted to improve process capability and yield.
  • In-line and offline process monitoring data are collected, analyzed, and reviewed to identify trends and drive corrective actions.
  • Process, equipment, quality, and manufacturing teams are collaborated with to identify problems, develop solutions, and drive improvements.
  • New materials, chemicals, and process consumables are evaluated and qualified for manufacturing use.
  • FMEA activities are supported to identify potential process risks during new product introduction and process changes.
  • Corrective and preventive action (CAPA) plans are developed, implemented, and tracked to closure.
  • SOPs, process specifications, safety procedures, environmental requirements, and HIRAC documentation are prepared and maintained.
  • Collaborate with Suppliers and external partners to evaluate and qualify new process materials and technologies.
  • Process improvement projects are supported to enhance manufacturing efficiency, product quality, and production capability.
  • AI and data analytics tools are leveraged as an advantage to enhance process monitoring, predictive analysis, and continuous improvement initiatives.

REQUIRED:

  • Currently pursuing a Master’s degree in Chemical engineering, Materials Science, Mechanical Engineering, Physics, or a related engineering field.
  • Fresh graduates with relevant engineering qualifications are encouraged to apply.

PREFERRED:

  • Strong technical knowledge and hands-on experience in process engineering, materials characterization, or manufacturing processes
  • Good problem-solving, root cause analysis, troubleshooting, and analytical skills related to process and quality issues
  • Experience or strong interest in AI, data analytics, machine learning applications in manufacturing, statistical process control (SPC), and new process technologies

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 [email protected] 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 [email protected].

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