Photonic interconnects and optical transceivers for AI data centers
Lumilens designs and manufactures photonic interconnects for AI data center infrastructure, with a stack spanning Zemax, HFSS, Ansys SIwave, Silicon Photonics and CMIS alongside ROS 2 for factory robotics. Hiring is heavily senior and engineering-led with a large manufacturing contingent across Asia, and recurring pain points around test yield, scrap and cycle time show a company racing from prototype to high-volume transceiver production.
Notable leadership hires: Optical Transceiver Manufacturing Director, Modelling Lead, Capital Equipment Sourcing & Procurement Director
Lumilens is a privately held photonics company headquartered in San Jose, California, founded in 2024 with 51–200 employees. It designs, builds and sells optical interconnect products, including optical transceivers, aimed at AI data centers and hyperscale operators. The company applies custom robotics and AI inside its own factories to streamline production. Its footprint extends beyond the United States to India, Thailand, Singapore, Taiwan and China, reflecting a manufacturing and engineering presence across Asia.
Lumilens uses Zemax, HFSS, Ansys SIwave, ANSYS Mechanical and Abaqus for optical and RF design, Python, C++, C#/.NET and LabVIEW for test, plus ROS 2, MongoDB, AWS and Bitbucket. It is adopting RISC-V.
Lumilens hires in the United States, India, Thailand, Singapore, Taiwan and China, with demand concentrated in senior engineering and manufacturing roles.
Optical transceiver product development, new product introduction, die bonding tool qualification, Python-based test frameworks and high-volume manufacturing test scripts for optical components.
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Lumilens's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.