hirq
← All jobs

Lumilens

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

Singapore · On-site · FullTime · Operations

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

Data AnalysisMechanical Engineering
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.