Testing Silicon Photonics at Scale: Challenges and Solutions for

Testing Silicon Photonics at Scale


Silicon photonics has moved from research labs into high-volume manufacturing, but testing remains one of the most stubborn barriers to cost-effective production. As data-center bandwidth demands surge—driven by AI training clusters and 800G/1.6T optical interconnects—photonic integrated circuits (PICs) must be validated at wafer, die, and package level with optical and electrical measurements that traditional CMOS test infrastructure was never designed to handle.


Why Photonic Test Is Different


Unlike purely electrical devices, PICs require simultaneous optical and electrical stimulus and measurement. Light must be coupled in and out of the chip, often through grating couplers or edge facets, while electrical probes contact the device under test. This dual-domain requirement creates several compounding problems:


  • Alignment sensitivity. Single-mode optical coupling demands sub-micron alignment tolerances, making probe positioning far more delicate than electrical wafer probing.
  • Test time. Optical alignment and wavelength sweeps add seconds—not milliseconds—to each measurement, directly limiting throughput.
  • Known-good-die (KGD) uncertainty. Because optical performance can shift after dicing and packaging, wafer-level results do not always predict final performance, complicating KGD strategies.
  • Equipment maturity. Automated optical probe stations and photonic test handlers are still maturing relative to their electrical counterparts, and standardization across vendors remains limited.

The Cost-of-Test Problem


In high-volume manufacturing, test cost scales with test time and parallelism. Photonic test has historically been a serial, alignment-heavy process. The industry's response has centered on three levers: faster alignment, higher parallelism, and test-at-the-right-stage strategies.


Faster alignment relies on machine vision, active alignment algorithms, and increasingly on grating coupler designs that tolerate broader alignment windows. Parallelism is advancing through multi-fiber arrays and multi-channel probe cards that test several devices or wavelengths simultaneously. Stage-appropriate testing distributes measurements across wafer sort and final test so that expensive optical characterization is performed only where it adds the most value.


Built-In Test and Self-Test


A growing theme is embedding testability into the photonic design itself. On-chip photodetectors, monitor taps, and loopback structures allow electrical readout of optical behavior, reducing reliance on external optical probing. As co-packaged optics (CPO) and silicon-photonics-based interconnects scale in 2026, design-for-test (DFT) is becoming a first-class requirement rather than an afterthought.


Looking Ahead with 2026 Context


The test challenge is intensifying as AI-driven demand pushes photonic interconnect volumes higher. Co-packaged optics, now entering broader deployment in switch and accelerator platforms, moves optical engines closer to the ASIC—raising the stakes for KGD, because reworking a packaged CPO module is prohibitively expensive. At the same time, heterogeneous integration of photonics with advanced CMOS nodes demands test flows that span multiple domains and supply-chain partners.


The path forward combines automated optical probing, higher-parallelism test cells, DFT-embedded photonics, and tighter data feedback between wafer-level and package-level test. Test is no longer a downstream cost center for silicon photonics—it is a design and manufacturing discipline that determines whether the technology can scale economically.

via Semiconductor Engineering

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