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Lumilens

Photonic interconnects for AI infrastructure

Supply Chain Manager

Supply Chain ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in engineering, Materials Science, Supply Chain, or a related field is required.
  • At least 5 years of sourcing/procurement and supply chain experience is required.
  • A proven track record negotiating supply agreements and managing supplier relationships across Asia and other global regions is required.
  • Strong analytical and cross-functional stakeholder management skills are required.

Responsibilities

  • Translate plans and forecasts into supplier capacity requirements and allocation requests for sourced commodities.
  • Monitor supplier lead times, allocation cycles, and delivery commitments, and flag gaps against build schedules early.
  • Coordinate with planning and production teams to align supplier capacity and delivery commitments with prototype, pilot, and production build schedules.
  • Develop and manage supply plans, balancing demand forecasts, inventory targets, and manufacturing capabilities across global partners.
  • Establish planning processes, metrics, and governance to enable consistent, data-driven decision-making.
  • Lead continuous improvement initiatives to enhance supply chain agility, efficiency, and responsiveness in a fast-scaling environment.
  • Lead supplier qualification activities in partnership with engineering and quality teams, including technical audits, sample evaluation, and process capability review.
  • Assess supplier financial health, manufacturing capacity, and technology roadmap alignment.
  • Support commercial negotiations for pricing, capacity commitments, and supply agreements with optics/photonics suppliers.
  • Partner with engineering and product teams to translate technology roadmaps into sourcing plans ahead of production needs.
  • Own cost-reduction roadmaps for key commodities and track savings against targets.
  • Maintain visibility of long-lead and critical-path optical components across the supply base.
  • Proactively identify and mitigate supply risks, including allocation constraints, single-source exposure, geopolitical/export-control exposure, and capacity shortfalls.
  • Build contingency and dual-source plans for critical components identified as at-risk.
  • Partner cross-functionally with engineering, operations, and program management to translate product requirements into scalable supply chain strategies.
  • Work closely with engineering on component specifications, alternate part qualification, and second-source enablement.
  • Support contract manufacturing partners with supplier introductions and component allocation where components are consigned or contract-manufacturer-managed.
  • Track supplier performance, including on-time delivery, quality measured by PPM/yield, cost trends, and capacity utilization.
  • Maintain a sourcing and supply roadmap and risk dashboard for optics/photonics commodities, reporting regularly to supply chain and engineering leadership.

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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