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Lightmatter

Photonic computing hardware for AI acceleration

Quality & Reliability Intern

Hardware Validation & TestingPosted on Nov 13
Internship · Summer 2027Mountain View, CA, USA$43 - $47 /hr

About the Job

Requirements

  • Currently pursuing a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
  • Have basic knowledge of test automation tools; Python is preferred.
  • Be familiar with hardware testing equipment such as oscilloscopes, multimeters, and thermal sensors.
  • Understand basic electronics, circuits, and embedded systems.
  • Have strong problem-solving and analytical skills.
  • Be able to work in a hands-on lab environment.
  • Be willing and curious to learn.

Responsibilities

  • Perform reliability and characterization tests on photonic and electronic hardware.
  • Set up test stations and write Python automation scripts and instrument drivers.
  • Analyze test data and present findings to key stakeholders.
  • Support failure analysis by isolating root causes and documenting results.
  • Maintain test procedures and contribute to reliability reports and qualification plans.

Desired Qualifications

  • Have coursework or project experience in optics, photonics, or semiconductor devices.
  • Have experience with instrument control protocols such as SCPI, VISA, or GPIB, or data-acquisition hardware.
  • Have exposure to reliability or qualification concepts such as thermal cycling, HTOL, or failure analysis.
  • Have experience working in a lab environment.

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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