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Lightmatter

Photonic computing hardware for AI acceleration

Staff Photonics Design & Process Design Kit Modeling Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master's degree and 5 years of experience, or a PhD and 3 years of experience, in Electrical Engineering, Photonics, Physics, or a related field.
  • Deep understanding of photonic device physics and experience in device simulation.
  • Experience building behavioral models for circuit simulators such as Lumerical INTERCONNECT, Cadence, Synopsys OptSim, or custom Python solvers.
  • Experience using Python for modeling, automation, and data analysis, including object-oriented programming and scientific libraries such as NumPy and SciPy.
  • Python-based layout experience.

Responsibilities

  • Develop and maintain a library of PCells using Python-based frameworks, ensuring synchronization between physical layout, logical netlists, and behavioral models.
  • Create and verify physics-based behavior models for passive and active devices.
  • Design test structures and develop test plans to extract device figures of merit; work with test engineers to obtain silicon data.
  • Validate models against lab measurements, and perform data fitting and statistical analysis to align model parameters with silicon performance.
  • Implement regression testing and continuous integration pipelines to ensure PDK updates do not break legacy designs or connectivity logic.
  • Collaborate with design, analog, digital, and architecture engineers to deliver tape-outs.

Desired Qualifications

  • Proficiency with Python-based layout tools such as gdstk, GDSFactory, and KLayout.
  • Experience with Python-native circuit simulation ecosystems such as SAX, Photontorch, and Simphony.
  • Experience with Verilog-A/Spectre-equivalent circuit modeling for photonics devices.
  • Prior experience using foundry-provided process design kits, adhering to design rules and constraints, and understanding design rule checking and layout versus schematic.
  • Experience working on large-scale designs using industry-standard environments such as Cadence Virtuoso.
  • Experience taping out and testing large-scale photonic integrated circuits, including familiarity with relevant testing equipment and methodologies.
  • Strong project execution skills, including managing multiple design priorities, adhering to project timelines, and meeting critical milestones.

About the Company

Lightmatter

Photonic computing hardware for AI acceleration

Lightmatter develops photonic computing hardware that accelerates AI workloads using light-based processors. Its photonic supercomputers run AI tasks faster and use far less energy (about 10x faster and 90% less energy) than traditional electronic systems. The company differentiates itself by focusing on electro-photonic systems and practical AI acceleration for AI and autonomous vehicle workloads, working with universities and selling hardware, software licenses, and partnerships. Its goal is to bring scalable photonic computing to market so AI and self-driving applications can run faster, more efficiently, and at larger scale.

Company size
201-500
Company stage
Series D
Total funding
$822M
Headquarters
Mountain View, CA
Founded
2017

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