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Lumilens

Photonic interconnects for AI infrastructure

Senior/Staff Quality Assurance Engineer or Manager - Foundry

Quality Engineering +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Electronics Engineering, Materials Science, Chemical Engineering, Physics, or a related field.
  • 5–10 years of experience in semiconductor wafer fabrication, foundry manufacturing, or semiconductor quality engineering.
  • Knowledge of front-end-of-line and back-end-of-line manufacturing processes.
  • Knowledge of Statistical Process Control, Failure Analysis, Failure Mode and Effects Analysis, Process Failure Mode and Effects Analysis, corrective and preventive action, 8D problem solving, Design of Experiments, yield analysis, reliability engineering, and ISO 9001.
  • Proficiency with Minitab, JMP, Excel, and SQL is preferred.

Responsibilities

  • Monitor and maintain quality standards across wafer fabrication processes.
  • Develop and maintain quality documentation, including Control Plans, Process Failure Mode and Effects Analysis, standard operating procedures, quality procedures, and audit records.
  • Ensure compliance with ISO 9001, customer requirements, and internal quality systems.
  • Chair the change request board to review and decide on change requests from foundry fabrication facilities.
  • Analyze foundry-line yield loss, defect density, process capability, and quality metrics.
  • Drive continuous improvement projects to reduce defects and improve manufacturing performance.
  • Monitor Statistical Process Control charts and process control systems to identify drift and proactively prevent excursions and risks.
  • Lead root cause analysis using 8D, 5 Why, Fishbone, and statistical tools.
  • Investigate quality excursions, nonconformances, wafer defects, customer complaints, and reliability failures.
  • Implement and verify corrective and preventive action effectiveness to prevent recurrence.
  • Act as the primary interface between customers and manufacturing teams on quality-related issues.
  • Support customer audits, quality reviews, returns and material authorizations, nonconformances, corrective and preventive actions, and corrective action reports.
  • Prepare customer quality reports and communicate quality performance metrics.
  • Support process qualification, technology transfer, and new process and product introduction activities.
  • Review reliability data and ensure products meet qualification requirements.
  • Participate in wafer fabrication change management and risk assessment activities.
  • Conduct internal process audits and quality system audits.
  • Track corrective actions from audit findings through closure.
  • Maintain audit readiness for customers and certification bodies.

Desired Qualifications

  • Experience in semiconductor foundry or fabrication environments, such as CMOS, radio frequency, mixed-signal technologies, or silicon photonics.
  • Customer and foundry quality management and audit experience.
  • Experience with technology transfer and process qualification projects.
  • Lean Six Sigma certification.
  • Knowledge of IATF 16949.

About the Company

Lumilens

Photonic interconnects for AI infrastructure

Lumilens designs and manufactures optical interconnect products to accelerate AI infrastructure. It provides high-density photonic interconnects—such as high-density pluggable, near-packaged, and co-packaged optics—built with in-house silicon photonics to scale GPU clusters in AI data centers. Its products include 800G and 1.6T optical transceivers for AI networking, and it is pursuing broader integration like Electrical-Optical Interposers through a strategic partnership with POET Technologies. The company differentiates itself through vertical integration, custom robotics-driven manufacturing, and AI-optimized production processes that aim to improve yield and supply chain stability. Lumilens targets hyperscalers and large AI providers, seeking to move interconnect bottlenecks from compute to scalable, efficient data-center networks. Its goal is to enable faster, denser GPU connectivity to support growing AI workloads and models.

Company size
51-200
Company stage
Series C
Total funding
$839.5M
Headquarters
San Jose, CA
Founded
2024

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