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Full-Time

IC CAD Engineer

AMS Flow Automation, Toronto

Confirmed live in the last 24 hours

Lightmatter

Lightmatter

51-200 employees

Develops photonic supercomputers for AI tasks

Automotive & Transportation
Hardware
AI & Machine Learning

Senior

Toronto, ON, Canada

Flexible, hybrid workplace model.

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Required Skills
CAD
Requirements
  • Bachelor's degree with 5+ years of CAD engineering experience
  • 2 years of experience in scripting languages such as SKILL and Python or Bash
  • Proficient in using industry-standard design software, including Cadence Virtuoso, Cadence/Calibre DRC, LVS tools
  • Experience supporting design teams working with analog and digital design flows
  • Excellent communication skills and ability to work with remote teams
Responsibilities
  • Administer CAD EDA environment for analog, digital, photonics, and package design teams
  • Support design flows from EDA vendors like Cadence, Synopsys, Mentor, Keysight, Ansys, and others
  • Write scripts to support design teams and flows using SKILL and Python
  • Oversee physical verification tools and decks (DRC, LVS, Extraction, EM/IR, ESD, etc.), making custom modifications as needed
  • Develop and maintain infrastructure for custom PDK development (custom pcells, models, DRC, LVS, etc.)
  • Install and track foundry PDKs, including creating automated regression testing
  • Assist the infrastructure team in ensuring the availability and performance of computing resources

Lightmatter develops photonic supercomputers that use light for processing, significantly enhancing the speed and energy efficiency of computing tasks. Their technology is particularly aimed at accelerating artificial intelligence (AI) applications, achieving a tenfold increase in processing speed while consuming 90% less energy than traditional electronic processors. Lightmatter collaborates with prestigious institutions like Harvard and Boston University to improve electro-photonic systems, especially for autonomous vehicles. Unlike competitors that rely solely on electronic processing, Lightmatter's focus on photonic computing sets it apart in the high-tech market. The company's goal is to provide advanced computing solutions that meet the growing demands of industries such as AI and self-driving cars, generating revenue through hardware sales, software licenses, and strategic partnerships.

Company Stage

Series C

Total Funding

$422.2M

Headquarters

Boston, Massachusetts

Founded

2017

Growth & Insights
Headcount

6 month growth

27%

1 year growth

51%

2 year growth

84%
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Simplify's Take

What believers are saying

  • The $155M in new funding will accelerate Lightmatter's growth and expand its photonic chip deployments, potentially leading to significant advancements in AI hardware.
  • Strong investor support from industry giants like Google Ventures and Hewlett Packard Enterprise provides financial stability and strategic partnerships.
  • Lightmatter's innovative photonic AI hardware positions it at the forefront of next-generation computing technologies, offering employees the chance to work on groundbreaking projects.

What critics are saying

  • The nascent stage of photonic computing technology could lead to unforeseen technical challenges and slower market adoption.
  • High expectations from substantial funding and a $1.2B valuation may pressure the company to deliver rapid results, potentially leading to operational strain.

What makes Lightmatter unique

  • Lightmatter focuses on photonic computing, a cutting-edge technology that uses light for data processing, offering significant speed and energy efficiency advantages over traditional electronic chips.
  • The company's strong backing from prominent investors like GV, HPE, and Lockheed Martin underscores its credibility and potential in the highly competitive tech landscape.
  • Lightmatter's valuation at $1.2B and substantial funding rounds highlight its rapid growth and market confidence in its innovative approach.

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