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Lightmatter

Photonic computing hardware for AI acceleration

Hardware Test Engineer Intern

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

About the Job

Requirements

  • Currently enrolled in a Bachelor's program in Electrical Engineering, Physics, Optical Engineering, or a related field.
  • Have coursework or project experience in at least one of integrated circuit design, device or circuit characterization, or electrical or optical testing.
  • Have hands-on experience with standard lab equipment such as oscilloscopes, multimeters, power supplies, or optical power meters, gained through coursework, research, or a prior internship.
  • Have programming experience in Python or a similar language, including reading and plotting measurement data.

Responsibilities

  • Characterize silicon photonics units on bench optical instrumentation by measuring output power, modulation amplitude, extinction ratio, and wavelength.
  • Build automation to run measurements, control the lab setup, and log results in a consistent, reusable data format.
  • Correlate unit measurements against a calibrated laboratory reference and quantify per-unit offsets and population spread.
  • Measure unit stability across time, temperature, and repeated re-insertion, and analyze repeatability and drift.
  • Deliver a feasibility and gap assessment with a clear recommendation, including the calibration and maintenance scheme needed for production deployment.

Desired Qualifications

  • Research, lab, or prior internship experience in photonics or semiconductors.
  • Experience automating lab instruments using PyVISA, SCPI, or similar tools.
  • Familiarity with basic statistics, including mean, standard deviation, repeatability, and gauge or measurement uncertainty.
  • Publications, projects, or open-source contributions related to the role.

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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