Senior Process Engineer

Posted 2 Days Ago
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Kuching, Bahagian Kuching, Sarawak, MYS
In-Office
Senior level
Big Data • Cloud • Hardware • Software
The Role
Develops, optimizes, qualifies, and improves substrate manufacturing processes to ensure quality, reliability, yield, and process capability. Responsibilities include troubleshooting, root cause analysis, DOE, statistical analysis, process monitoring, new product introduction, materials qualification, FMEA, CAPA, documentation, safety compliance, and collaboration with manufacturing, quality, equipment, suppliers, and external partners. AI and data analytics support predictive monitoring and continuous improvement.
Summary Generated by Built In
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

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.

Qualifications

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

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 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].

Skills 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.
  • Technical knowledge and hands-on experience in process engineering, materials characterization, or manufacturing processes.
  • 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, and new process technologies.

Western Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Western Digital and has not been reviewed or approved by Western Digital.

  • Strong & Reliable Incentives — Strong & Reliable Incentives: Incentive structures in variable‑pay roles are portrayed as well‑designed, and annual or quarterly bonuses are commonly part of total compensation.
  • Healthcare Strength — Healthcare Strength: Company materials highlight comprehensive medical, dental, vision, and mental‑health resources, complemented by options like HSA/FSA and disability coverage.
  • Parental & Family Support — Parental & Family Support: Caregiving support across life stages and children’s behavioral health resources are featured, with programs such as Bright Horizons referenced for U.S. employees.

Western Digital Insights

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The Company
HQ: Bengaluru, Karnataka
25,132 Employees

What We Do

At Western Digital we create data storage solutions that power the technology of today and inspire the innovations of tomorrow.

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