Senior Silicon Photonics Designer
nEye
Senior Silicon Photonics Designer
nEye
Programmable optical switches for data centers
Salary Range: 170000 to 240000 (Currency: USD) (Pay period: per-year-salary)
nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of data centers. nEye’s MEMS-based silicon photonics optical circuit switches (OCS) eliminate critical bottlenecks in AI processing by enabling direct optical connections among thousands of GPUs and memory units. The company's SuperSwitch is an ultra-low power consumption, high radix, compact chip-scale design, offering hyperscale data centers enhanced performance, efficiency, and scalability.
As a Silicon Photonics Designer at nEye Systems, you will be responsible for the development process for complex photonic devices and systems-on-chip, from design through fabrication, testing and analysis. You will be an active participant in regular company strategy meetings, including addressing our chip manufacturing technology strategies. You will be successful if you thrive in a fast-paced environment, can participate in multiple work streams simultaneously, are passionate about solving problems and learning.
nEye Systems designs programmable photonic integrated circuits (PICs) that implement high-radix optical circuit switching on a silicon chip. Their main product is a programmable optical switch built on silicon photonics, enabling high-capacity, low-power data paths for AI, ML, and other data-intensive workloads. The system uses a PIC-based switch fabric that can be configured to route optical signals through many channels, reducing electrical power needs and easing network scaling in data centers. Compared with competitors, nEye focuses on integrating high-radix, programmable optical switching directly on silicon wafers to deliver scalable, energy-efficient networking for AI infrastructure, leveraging MEMS photonics and silicon photonics techniques. The company aims to make data center networks more power-efficient and scalable to meet rising demands from AI and ML workloads.
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