Public listing

Optical Contract Manufacturer Support Engineer

Nokia Thailand
  • Work modeHybrid
  • ListedPosted 9 hours ago
  • SourceOracle

Role overview

About the role

Description supplied by the original job listing.

Join our Operations Engineering team as an Optical Contract Manufacturer Support Engineer, where you will be responsible for developing, qualifying, and sustaining advanced optical assembly processes used in high-speed optical transceivers, photonic integrated circuit (PIC) modules, optical engines, and communication systems. You will work across the entire product lifecycle, from New Product Introduction (NPI) through high-volume manufacturing, driving process optimization, yield improvement, and root cause analysis.
In this role, you will support critical optical assembly technologies including fiber preparation, fusion splicing, fiber routing, optical connector and receptacle integration, active optical alignment, optical packaging, and photonic assembly processes. You will leverage optical measurement systems, microscopy, cross-sectional analysis, and reliability testing to ensure robust manufacturing processes and exceptional optical performance. Our collaborative environment encourages innovation, technical leadership, and continuous improvement while solving challenging manufacturing problems.
NILightpath
Must-Have
4-6 years of experience
BS, MS, or PhD in Optical Engineering, Electrical Engineering, Physics, Photonics, Manufacturing Engineering, or equivalent experience.
Familiarity with industry standards and test methodologies for optical communications and fiber optic assemblies.
Experience with silicon photonics, PICs, co-packaged optics, or optical engine manufacturing.
Experience with automated fiber alignment, robotic assembly systems, and precision motion platforms.
Familiarity with Telcordia, IEC, GR standards, reliability engineering, and advanced optical test equipment (e.g., OSA, OTDR).
Nice-to-Have
Ability to analyze technical challenges, perform root cause investigations, and implement practical solutions that improve quality and performance.
Understanding of manufacturing process control, data-driven decision-making, and continuous improvement methodologies.

Work arrangement
Hybrid

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