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Lightmatter

Photonic computing hardware for AI acceleration

Digital Architect

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • At least 3 years of experience and a Master's degree in Electrical Engineering or Computer Engineering.
  • Knowledge of power-efficient digital design flow for high-speed analog/mixed-signal electronics, preferably on photonic communication channels.
  • Understanding of digital circuit design in a high-speed analog/photonic link, including device bring-up, control, and digital signal processing.
  • Demonstrated problem-solving skills for problems without obvious solutions.
  • Demonstrated written and verbal communication skills.

Responsibilities

  • Own digital architecture from initial concept through high-volume production.
  • Architect and specify system-level digital designs integrating complex analog/mixed-signal and photonic circuits, including high-speed drivers and receivers, SerDes, ADC/DAC, photonic modulators, and detectors.
  • Work with test and validation engineers to validate hardware against simulation predictions.
  • Collaborate with RTL and design verification teams to enable block-level implementation and verification.
  • Author, review, and validate architectural specifications.

Desired Qualifications

  • Experience in photonic circuits.
  • Ability and desire to collaborate in a cross-disciplinary team.
  • Use CAD tools, SPICE simulators, IBIS-AMI simulators, and general programming languages such as MATLAB or Python.
  • Ability to learn quickly and work independently across a range of tasks.
  • Innovative and flexible approach to problem solving.
  • Data-driven and analytical approach, translating numbers into actionable strategies.
  • Process-oriented and programmatic approach to building reliable organizational processes.

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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