Photonics PDK Modeling Engineer — Hybrid, Equity Eligible

Lightmatter, Inc.; Boston, Northern (MA, KY); Hybrid; USD 179,000 - 219,000; Full time

Benefits offered by this job

Retirement Savings Matching Program

Life Insurance

Generous Time Off

Paid Family Leave

Disability Insurance

Training & Development

Flexible, hybrid workplace model

Equity grants

Job summary

Lightmatter, Inc. is seeking a Photonics PDK Modeling Engineer to lead development of our internal PDK. You will architect our component library, bridging device physics to system-level simulation, and build robust compact models for active and passive devices using Python.

You will work on modeling, automation, and data analysis, with strong emphasis on Python-based layout and CI-driven validation to safeguard new designs and connectivity.

Qualifications

• Master’s or PhD in a relevant technical field with several years of experience.
• Deep understanding of photonic device physics and device simulation.
• Experience building behavioral models for circuit simulators.
• Strong Python skills for modeling, automation and data analysis; familiarity with NumPy/SciPy.
• Python-based layout experience and OO programming proficiency.

Responsibilities

• Develop and maintain a library of pcells using Python-based layout tooling.
• Create and verify behavioral models for passive and active devices.
• Build automated workflows to extract parameters from solvers for PDK packaging.
• Validate models against lab measurements and perform data fitting.
• Implement regression tests and CI pipelines to protect designs.
• Own netlist extraction and ensure connectivity matches physical intent.

Skills

Python

Data analysis

Modeling

OOP

Education

Master's degree in Electrical Engineering or related field

PhD in related field

Tools

Lumerical INTERCONNECT

Cadence

Synopsys OptSim

Python scripting

Git

pytest

Job description

Lightmatter, Inc. is seeking a Photonics PDK Modeling Engineer to lead development of our internal PDK. You will architect our component library, bridging device physics to system-level simulation, and build robust compact models for active and passive devices using Python.

You will work on modeling, automation, and data analysis, with strong emphasis on Python-based layout and CI-driven validation to safeguard new designs and connectivity.