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Lumilens

Photonic interconnects for AI infrastructure

Materials Planner

Production Planning & SchedulingConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of experience and a bachelor's degree in engineering, business, supply chain, or a related field.
  • Ability to produce material line-of-balance analyses and conduct clear-to-build reviews in a manufacturing environment.
  • Knowledge of materials planning fundamentals, including master data management, order policy, bill of material control, planning release, and fulfillment execution.
  • Proficiency with material requirements planning (MRP) and enterprise resource planning (ERP) systems used to support complex manufacturing and supply planning processes.
  • Analytical skills and proficiency in Microsoft Office, mathematics, and statistics.

Responsibilities

  • Own demand, supply, and fulfillment planning within MRP for optical transceivers, silicon photonics assemblies, and related components to support prototype, new product introduction, and production builds.
  • Maintain accurate bills of material, part attributes, planning parameters, and master data in ERP to support material planning, order execution, and traceability.
  • Release purchase planning messages to procurement in a timely manner to ensure continuity of supply for long-lead optical, semiconductor, and electromechanical components.
  • Release and manage work orders to production in alignment with build schedules, material availability, and manufacturing priorities.
  • Update demand plans to reflect engineering change orders, revised build requirements, qualification activity, and product transitions, and communicate resulting material impacts to procurement and operations.
  • Create and maintain visibility into material position through line-of-balance reporting, shortage tracking, clear-to-build reviews, and related planning metrics.
  • Partner cross-functionally with engineering, sourcing, manufacturing, quality, and operations teams to support product readiness and achieve company-wide delivery and inventory goals.
  • Perform other duties assigned by the manager that are relevant to the role and evolving business needs.

Desired Qualifications

  • Advanced proficiency in MRP and ERP systems used in high-mix, fast-scaling manufacturing environments.
  • Prior experience in optical transceivers, silicon photonics, semiconductors, advanced electronics, or other disruptive manufacturing industries.
  • Experience supporting rapid-growth environments, including new product introduction, engineering change management, and production ramp planning.
  • Ability to read and interpret engineering drawings, bills of material, and revision-controlled documentation.
  • Familiarity with AS9100, U.S. export controls, or other regulated manufacturing requirements.
  • Organizational and problem-solving skills, with the ability to prioritize effectively and manage multiple deadlines.
  • Verbal and written communication skills and a collaborative, team-oriented approach in a fast-paced environment.

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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