Lead Wafer Bonding & Integration Engineer

Socket.dev

Santa Clara (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

nEye.ai in Santa Clara, CA is seeking a Wafer Bonding Integration Engineer to lead development, integration, and manufacturing transfer of advanced wafer bonding processes essential to our MEMS-based silicon photonics OCS product line.

You will partner with design teams and external foundries to deliver robust bonding solutions, drive NPI, and enable smooth transition to volume manufacturing, with a focus on yield, reliability, and process capability.

Qualifications

  • Advanced degree in Materials Science, Mechanical/Electrical Engineering, Physics, MEMS, or related field.
  • 10+ years in new product introduction with wafer process integration and manufacturing experience.
  • Hands-on expertise with wafer bonding technologies (Fusion, Eutectic, Hybrid, Direct).
  • Experience with TSV, wafer thinning, cavity SOI, or 3D integration is beneficial.

Responsibilities

  • Own wafer bonding integration strategy from early development to high-volume manufacturing.
  • Collaborate with design, process development, and foundries to enable robust manufacture.
  • Lead transfer activities and ensure repeatable bonding solutions across partners.
  • Interface between internal teams and external fabrication partners throughout NPI.
  • Drive yield, schedule, quality, and reliability objectives for new products.

Skills

Wafer bonding
Foundry collaboration
NPI & manufacturing transfer
Root cause analysis

Education

BS/MS/PhD in Materials Science or related

Tools

SEM
IR inspection
Profilometry
C-SAM
AFM

Job description

nEye.ai in Santa Clara, CA is seeking a Wafer Bonding Integration Engineer to lead development, integration, and manufacturing transfer of advanced wafer bonding processes essential to our MEMS-based silicon photonics OCS product line.

You will partner with design teams and external foundries to deliver robust bonding solutions, drive NPI, and enable smooth transition to volume manufacturing, with a focus on yield, reliability, and process capability.

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