Principal Silicon Photonics Layout Engineer

About Us:

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.

Job Overview:

nEye is seeking a Principal Silicon Photonics Layout Engineer to actively lead the company’s design and tapeout of complex Photonic Integrated Circuits (PICs) using a code-based, functional layout methodology.

In this role, you will be responsible for architecting and maintaining a robust script-based library of parametric components. You will bridge the gap between optical physics and software engineering, ensuring layouts are highly reproducible and optimized for high-yield, production-scale fabrication. This position is ideal for a candidate who treats layout as a software engineering challenge and thrives in a programmatic, automation-first environment.

Responsibilities

Functional Library Development: Architect and maintain a robust library of Python functions to generate parametric geometries
Production-Scale Layout: Execute full-chip assembly for high-volume manufacturing (HVM)
Design for Test (DFT) Automation: Develop and implement automated functions for the insertion of optical/electrical test structures
Automated Routing: Develop scripts to automate complex optical routing and other design features via code
Physical Verification: Lead the DRC/LVS cleanup process using tools like Calibre or KLayout
Version Control & CI/CD: Utilize Git and “Layout CI” to manage the evolution of the function library and validate code changes


Required Skills

Production SiPh Experience: 8-12+ years of experience in high-complexity layout design with a track record of shipping Silicon Photonics designs to production. You must understand how layout decisions impact wafer-level yield and performance consistency
Code-Based Layout Mastery: Advanced proficiency in Python and experience with functional layout frameworks
Version Control Expertise: Expert mastery of Git
DFT Mindset: Demonstrated experience in placing and routing test structures for automated wafer-scale probing
Verification Tools: Expert-level debugging of DRC in the EDA ecosystem , with the ability to translate foundry rule decks into layout code constraints
Education: M.S. in Electrical Engineering, Physics, or Computer Science with a focus on Physical Design
Deep familiarity using AI tools (e.g., LLMs, copilots) to accelerate engineering workflows, debugging, and problem-solving


Preferred Skills

MEMS Layout: Experience designing layout functions for MEMS structures
Data-Driven Feedback: Ability to parse large-scale foundry PCM data to refine the function library parameters


nEye.ai is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Starting salary and title will depend on, and be commensurate with, relevant experience, skills, training, education, market demands, and the ultimate job duties and requirements.
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