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Lightmatter

Photonic computing hardware for AI acceleration

Physical Design Intern

Silicon & ASIC DesignPosted on Nov 13
Internship · Summer 2027Boston, MA, USA$50 - $55 /hrIn-person

About the Job

Requirements

  • Currently enrolled in a master's or PhD program.
  • Have an interest in physical design.
  • Be familiar with TCL or Python scripting.
  • Have knowledge of physical design tools and flows.
  • Understand synthesis, place and route, and LVS/DRC.
  • Understand VLSI design fundamentals.
  • Be willing and curious to learn from the team.
  • Have the capacity to comply with federally mandated U.S. export control requirements.

Responsibilities

  • Learn the physical design flow.
  • Improve the physical design flow through scripting in languages such as Python.
  • Investigate the use of AI to improve and augment the physical design flow.
  • Work with physical design team members on physical implementations or analysis.
  • Collaborate with teams such as analog design and photonics to improve mixed-signal and mixed-signal-plus-photonics design methodologies.

Desired Qualifications

  • Have research, lab, or prior internship experience in physical design involving photonics, semiconductors, or AI hardware.
  • Have publications, projects, or open-source contributions related to physical design or Python programming.
  • Have prior experience or coursework relevant to physical design.

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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