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Lightmatter Tech Stack

Photonic processors and optical interconnect hardware for data center computing

Computer Hardware Manufacturing Mountain View, California 201–500 employees Founded 2017 Privately Held

Lightmatter designs photonic computing engines and optical interconnect systems using hardware simulation (Tidy3D, SystemVerilog, Cadence) and embedded systems tools (OpenBMC, gRPC, Python). Active hiring is almost entirely staff-and-senior-level engineering (26 of 28 roles), pointing to a hardware-scale-up phase focused on control plane architecture, laser integration, and packaging for AI workloads—challenging technical work requiring depth rather than headcount.

Tech Stack 94 technologies

Core StackPython FastAPI Flask Django Docker MongoDB PostgreSQL Redis Ansible gRPC C++ Tidy3D Docker Compose pytest TCP/IP WebSockets UVM SystemVerilog Xcelium ModelSim Questa CMIS OpenBMC GDB JTAG CMake I need a technology name to normalize. You've provided the word "Passage" but this appears to be: 1. A generic English word (a corridor, text excerpt, etc.) 2. Not a standard technology product name SKIP Cadence TCL Bash+64 more

What Lightmatter Is Building

Challenges

  • Improving package mechanical integrity
  • Reducing power dissipation
  • Meeting power dissipation requirements
  • Accelerating data center photonics development
  • Designing high-volume photonic layouts
  • High temperature testing reliability
  • Scalable multi-chassis testing
  • Real-time monitoring data collection
  • Design and manufacturing challenges for high-performance laser solutions
  • High volume manufacturing

Active Projects

  • Control plane architecture for photonic interconnect products
  • High speed analog transceiver solutions for next-generation optical and wireline communication systems
  • Device software and firmware stack for photonic compute and photonic interconnect
  • Complex digital block implementation for passage™ photonics engine
  • Laser system integration
  • Package stack-up analysis for ai architectures
  • Leading-edge packaging technology development
  • Develop automation scripts to improve modeling efficiency
  • Develop and maintain cfd tools and templates
  • Automation of timing eco generation for physical design implementation

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering
26
Product
2

Seniority

Staff
17
Senior
9
Principal
2
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About Lightmatter

Lightmatter builds photonic processors and optical interconnect products for data center infrastructure. Founded in 2017 and based in Mountain View, the company operates across hardware design (photonic engines, high-speed transceivers), firmware and control software (device stacks, OpenBMC, gRPC), and manufacturing engineering (packaging, thermal testing, laser integration). The technical stack spans simulation (Tidy3D for photonics modeling, Cadence for digital design), embedded systems (SystemVerilog, C++, Bash), and infrastructure automation (Docker, Ansible). Key challenges center on power dissipation, mechanical packaging integrity, manufacturing yield at high volumes, and accelerated photonics development cycles.

HeadquartersMountain View, California
Company Size201–500 employees
Founded2017
Hiring MarketsCanada, United States

Frequently Asked Questions

What is Lightmatter's tech stack?

Photonics simulation (Tidy3D), hardware design (SystemVerilog, Cadence, ModelSim), embedded systems (C++, Python, OpenBMC), and DevOps tooling (Docker, Ansible). Core languages: Python, C++, TCL, Bash.

Where does Lightmatter hire?

Lightmatter posts roles in the United States and Canada. Headquarters is Mountain View, California.

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How this profile is built

Lightmatter's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.