
Neurophos provides high-throughput, energy-efficient AI inference by replacing electronic processors with optical hardware. The company builds Optical Processing Units (OPUs) and photonic chips that use metamaterials and silicon photonics to perform matrix operations with dramatically reduced area and power compared with conventional GPUs. Its approach re-architects tensor-core unit cells to enable ultra-dense modulators and compute-in-memory photonic designs that target data center and enterprise AI workloads. Neurophos operates as a B2B hardware and licensing vendor, offering prototype OPUs, development systems, and integration pathways for compute-intensive customers and hyperscale infrastructure.

Neurophos provides high-throughput, energy-efficient AI inference by replacing electronic processors with optical hardware. The company builds Optical Processing Units (OPUs) and photonic chips that use metamaterials and silicon photonics to perform matrix operations with dramatically reduced area and power compared with conventional GPUs. Its approach re-architects tensor-core unit cells to enable ultra-dense modulators and compute-in-memory photonic designs that target data center and enterprise AI workloads. Neurophos operates as a B2B hardware and licensing vendor, offering prototype OPUs, development systems, and integration pathways for compute-intensive customers and hyperscale infrastructure.
At Neurophos, listed as one of EE Times’ 2025 100 Most Promising Start-ups, we are revolutionizing AI computation with the world’s first metamaterial-based optical computing platform. Our design addresses the traditional shortcoming of silicon photonics for inference and provides an unprecedented AI engine with substantially higher throughput and efficiency than any existing solution.
We've created an optical metasurface with 10,000x the density of traditional silicon photonics modulators. This enables a solution with 100x gains in power efficiency for neural network computing without sacrificing throughput; we've made improvements there, too. By integrating metamaterials with conventional optoelectronics, our compute-in-memory optical system surpasses existing solutions by a wide margin and enables truly high-performance and cost-effective AI compute.
Join us to shape the future of optical computing.
We are seeking a leader to own the architecture, design, and development of advanced silicon photonic devices for our AI acceleration platform. This role is ideal for a highly experienced and motivated engineer with a deep understanding of silicon photonics, including grating couplers, waveguides, semiconductor optical amplifiers (SOAs), and photodetectors, who is excited. The candidate will work closely with the CTO and cross-disciplinary teams to drive the design, validation, and commercialization of cutting-edge photonic modules. Initially, this position will be an individual contributor role, with the potential to build and lead a team in the future.
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