Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
We are hiring a Photonics PDK Modeling Engineer to join our team. In this role, you will lead the development of our internal Process Design Kit (PDK). You will act as the architect of our component library, bridging the gap between physical device physics and system-level simulation. You will develop robust compact models for active and passive components, ensuring that our simulation environment accurately predicts the behavior of our physical layouts. You will work heavily in Python, applying software engineering rigor to the challenges of photonic hardware design.
Responsibilities- Develop and maintain a library of pcells using Python-based layout frameworks. Ensure strict synchronization between physical layout, logical netlists, and behavioral models.
- Create and verify behavioral compact models for passive and active devices
- Simulation Infrastructure: Build automated workflows that extract parameters from electromagnetic solvers (FDTD/FEM) and package them into the PDK for circuit-level simulation.
- Model-Hardware Correlation: Validate simulation models against lab measurements. Perform data fitting and statistical analysis to align model parameters with real-world silicon performance.
- Automated Verification: Implement regression testing and Continuous Integration (CI) pipelines to ensure PDK updates do not break legacy designs or connectivity logic.
- Netlist & Connectivity: Own the logic for netlist extraction, ensuring that the connectivity graph generated by the code perfectly matches the physical intent.
- Master’s +5 years experience or PhD +3 years experience in Electrical Engineering, Photonics, Physics, or related field.
- Deep understanding of photonic device physics and experience in device simulation.
- Experience building behavioral models for circuit simulators (e.g., Lumerical INTERCONNECT, Cadence, Synopsys OptSim, or custom Python solvers).
- Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
- Python based layout experience.
- Familiarity with GDSFactory, OptoCompiler or KLayout Python scripting.
- Experience with Python-native circuit simulation ecosystems (e.g., SAX, Photontorch, Simphony).
- Experience with Git version control, unit testing (pytest), and CI/CD workflows.
- Prior experience in performing physical layout using foundry-provided process design kits (PDKs), adhering to specific design rules and constraints.
- Experience in taping out and testing large-scale photonic integrated circuits, including familiarity with relevant testing equipment and methodologies.
- Experience doing inverse design
- Possess strong project execution skills, demonstrating the ability to effectively manage multiple design priorities, adhere to project timelines, and meet critical milestones.
We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.
- Comprehensive Health Care Plan (Medical, Dental & Vision)
- Retirement Savings Matching Program
- Life Insurance (Basic, Voluntary & AD&D)
- Generous Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave
- Short Term & Long Term Disability
- Training & Development
- Commuter Benefits
- Flexible, hybrid workplace model
- Equity grants (applicable to full-time employees)
Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.
Export Control
Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
Skills Required
- Master's +5 years or PhD +3 years in Electrical Engineering, Photonics, Physics, or related field.
- Deep understanding of photonic device physics and experience in device simulation (FDTD/FEM).
- Experience building behavioral models for circuit simulators (e.g., Lumerical INTERCONNECT, Cadence, Synopsys OptSim, or custom Python solvers).
- Proficient in Python for modeling, automation, and data analysis; object-oriented programming and scientific libraries (NumPy, SciPy).
- Experience developing and maintaining pcells using Python-based layout frameworks and ensuring synchronization between layout, netlists, and models.
- Experience validating models against lab measurements, performing data fitting and statistical analysis for model-hardware correlation.
- Experience with automated verification, regression testing, and CI pipelines to maintain PDK stability.
- Python based layout experience (using Python layout tools/workflows).
- Familiarity with GDSFactory, OptoCompiler, or KLayout Python scripting.
- Experience with Python-native circuit simulation ecosystems (SAX, Photontorch, Simphony).
- Experience with Git version control, unit testing (pytest), and CI/CD workflows.
- Prior experience performing physical layout using foundry-provided PDKs and tape-out/testing of photonic integrated circuits.
- Experience with inverse design methodologies.
- Strong project execution skills; ability to manage multiple priorities and meet milestones.
Lightmatter Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lightmatter and has not been reviewed or approved by Lightmatter.
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Fair & Transparent Compensation — Pay is considered competitive for specialized photonics and AI‑hardware roles, with posted ranges and third‑party totals aligning to strong market levels. Compensation for niche roles is framed as consistent with top‑tier hardware/photonics expectations.
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Healthcare Strength — Healthcare is described as comprehensive, covering medical, dental, and vision in current postings. Additional protections like life insurance and disability are also called out.
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Equity Value & Accessibility — Equity grants for full‑time employees are commonly included alongside base pay. Some postings also mention performance‑based equity components.
Lightmatter Insights
What We Do
Lightmatter is a startup photonics company that has pioneered a new paradigm in processor chip architecture that uses photons instead of electrons. Now the leader in the photonic AI compute “space race,” this new class of high performance semiconductors is the foundation of Lightmatter’s mission to enable the growth of computing, reduce harmful emissions associated with this growth, and democratize computing for all. Lightmatter's technology accelerates critical operations in deep neural networks, using an array of programmable photonic elements fabricated alongside transistors in conventional computer chip fabrication processes. Our close-knit team of engineers has created an integrated photonics chip and ultra-high performance interconnect that is faster, more efficient, and cooler than anything else on earth (or anything ever experienced before) to power the next giant leaps in human progress.
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