
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.
Austin, TX or San Francisco, CA. Full-time onsite position.
Reports To: Senior Director of Analog
Position Overview We are seeking a seasoned Principal Analog Design Engineer to play a vital role in developing cutting-edge full-custom electronic transceiver components that interface directly with our custom silicon photonics and are essential to our revolutionary photonic AI platform. You will be responsible for the full lifecycle of analog blocks, from specification and architecture down to tape-out-ready layout. Success in this role requires a deep understanding of transistor-level circuit design, linearity, noise performance, and signal integrity in CMOS processes up to GHz speeds. If you possess a proven track record of designing robust, ultra-fast analog circuits and are eager to work at the intersection of electronics and photonics, you will make a defining impact on the future of optical computing.
Key Responsibilities
Qualifications
Preferred Skills
What We Offer
This is a rare opportunity to work on a game-changing technology at the intersection of photonics and AI. As part of our elite team, you’ll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Be a key player in bringing this transformative innovation to the world.