Senior/Staff Process Engineer (Wafer Dicing & Back-grind)

Full-time
Singaporevia Lumilens CareersPosted Oct 13, 2026
Match with my CV

Technical skills

Data analysis

Core Responsibilities

  • Responsible for silicon photonic wafer backside grinding/thinning process, laser stealth dicing process and die sorting development for silicon photonic chips, with OSAT or internal line.
  • Optimize wafer thinning thickness, grinding speed, cutting path and laser cutting parameters to avoid chip crack, edge chipping and optical structure damage of silicon photonic wafers.
  • Solve process abnormalities in wafer thinning and dicing processes, including wafer warpage, surface scratch, incomplete cutting and chip breakage.
  • Monitor wafer thickness uniformity, cutting quality and production capacity, carry out continuous process optimization to improve product yield.
  • Evaluate process compatibility between wafer grinding/stealth dicing and bumping & flip-chip processes, optimize process integration to avoid subsequent process failure attributed to front-end process variations.
  • Compile process SOP, WI, failure reports and engineering change documents; support NPI new product introduction and process verification.
  • Key Requirements & Qualification
  • Education: A Bachelor or Master degree in Materials Science, Chemical Engineering, Mechanical Engineering, Microelectronics, or an equivalent technical discipline.
  • Experience: 3 to 6+ years of hands-on process engineering in wafer mounting, stealth dicing, wafer grinding, especially in handling advanced packaging wafers with more complex topology or stack.
  • Experience working with external equipment and material suppliers to develop equipment and materials needed to support new assembly requirements. Characterize, qualify and bring the process up for mass production.
  • Familiarity with SPC, JMP data analysis, and DOE matrix design for process development and problem identification and solving using meticulous fixing methods.

Before you apply

  • 1Which parts of your CV prove experience with Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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