Wafer Laser & Saw Process Engineer

Intel Corporation

Kulim

On-site

MYR 180,000 - 260,000

Full time

5 days ago
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Job summary

Intel Corporation in Kulim, Malaysia seeks a Process and Equipment Engineer specializing in wafer laser and saw singulation technologies. You will own process optimization, drive yield improvements, and lead equipment reliability efforts in a high-volume manufacturing environment.

As part of the Wafer Packaging Manufacturing team, you will deploy automation, AI-driven monitoring, and data analytics to reduce defects and improve MA, cost, and throughput while supporting NPI and transfer.

Qualifications

  • Bachelor’s or Master’s Degree in Electrical, Electronics, Mechanical, Mechatronics, Materials, Physics, or related field.
  • Fresh graduates encouraged; 0–1 year experience.
  • Preferred: >2 years in semiconductor or wafer singulation processes.

Responsibilities

  • Own and optimize laser ablation and wafer saw parameters to maximize yield and throughput.
  • Drive defect reduction for burrs, chipping, kerf quality, and recast.
  • Lead troubleshooting and reliability improvements for laser and saw equipment.
  • Develop maintenance plans to maximize uptime and MA.
  • Apply SPC/DOE/FMEA analytics to root-cause process variation.
  • Collaborate with TD teams to evaluate next‑gen laser and singulation tech.
  • Support NPI process qualification and high-volume ramp.

Skills

Process optimization
Yield improvement
Equipment engineering
Data analytics
Automation & AI
NPI support
Cross-functional teamwork
Safety & compliance

Education

Bachelor’s or Master’s in engineering

Tools

Python
JMP
SQL
Power BI

Job description

Intel Corporation in Kulim, Malaysia seeks a Process and Equipment Engineer specializing in wafer laser and saw singulation technologies. You will own process optimization, drive yield improvements, and lead equipment reliability efforts in a high-volume manufacturing environment.

As part of the Wafer Packaging Manufacturing team, you will deploy automation, AI-driven monitoring, and data analytics to reduce defects and improve MA, cost, and throughput while supporting NPI and transfer.

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