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

Lumilens

Singapore1w ago

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Key details

Location
Singapore
Work style
Onsite
Level
Lead / Staff+
Job type
Full-time
Experience
3–6 yrs
Function
Hardware, mechanical & civil engineering
Focus area
other
Posted
1w ago

Skills

data analysisjmpnew product introductionprocess optimizationspc

About the role

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, wafer dicing, wafer thinning or 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

 

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