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Lumilens

Photonic interconnects for AI infrastructure

Technical Project Manager

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or above in Mechanical, Electrical/Electronic, Mechatronics, Materials Science, Manufacturing Engineering, or a related engineering discipline is required; an advanced degree is a plus.
  • At least 8 years of hands-on process engineering experience in semiconductor packaging, optoelectronics, optical transceiver/module assembly, microelectronics, surface-mount technology, or precision automation manufacturing, preferably in a high-volume manufacturing environment.
  • Strong technical depth in one or more core assembly processes, including die attach or die bond, wire bond, active optical alignment, optical module assembly, dispensing, curing, bonding, or end-to-end line integration.
  • Experience owning process development from concept through qualification, pilot build, production release, and sustained high-volume manufacturing ramp.
  • Understanding of process failure mode and effects analysis, design for manufacturing and related design-for-X methods, control plans, change control, material review board processes, process audits, and quality and reliability requirements in a manufacturing or outsourced semiconductor assembly and test environment.
  • Working knowledge of design of experiments, statistical process control, process capability (Cpk), yield analysis, defect Pareto analysis, root-cause failure analysis, and structured problem-solving methodologies such as 8D or DMAIC.
  • Experience defining process windows, equipment requirements, recipes, standard operating procedures, work instructions, qualification plans, and production control strategies.
  • Ability to work effectively with cross-functional teams, including process engineering, product and design engineering, manufacturing, quality, equipment engineering, suppliers, and external manufacturing partners.
  • Ability to lead complex technical discussions, drive alignment across stakeholders, and make data-driven decisions under schedule and ramp-up pressure.
  • Hands-on and detail-oriented approach, with comfort working in a fast-paced startup or scale-up environment with evolving processes, tools, and priorities.
  • Ability to present technical findings, risks, trade-offs, and recommendations clearly to engineering and leadership audiences.

Responsibilities

  • Work with internal and external stakeholders to ensure effective end-to-end process failure mode and effects analysis, design for manufacturing, and controllability.
  • Manage overall schedules for process development, design of experiments, qualification, pilot runs, and release to high-volume manufacturing.
  • Work with process engineers on specific process requirements, delivery, and performance.
  • Work with outsourced semiconductor assembly and test quality teams to ensure that the site and process meet quality and reliability requirements, including effective line and process audits, process control, change control, and material review board processes.

Desired Qualifications

  • An advanced degree is a plus.
  • Experience in a high-volume manufacturing environment is preferred.

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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