Intern, Photonics Test Engineering

Ayar Labs•San Jose, CA
•Onsite

About The Position

Ayar Labs is seeking a motivated Photonics Test Engineering Intern to support development and automation of test solutions for advanced Photonic IC devices. The intern will work with the Photonics Test Engineering team to develop measurement scripts, construct automated test flows, analyze test data, and support device configuration and debugging. The role offers hands-on experience in semiconductor test development, combining software programming with electrical and photonic device testing on real-world products. The internship runs from May to August 2027 and is on-site at the San Jose office. The company does not provide immigration support except for F1 status, or relocation support for this position.

Requirements

  • Strong programming skill in Python.
  • Basic understanding of digital electronics, electrical measurements, and semiconductor devices.
  • Familiarity with data processing, debugging, and software development fundamentals.
  • Currently pursuing a B.S. or M.S. in Electrical Engineering, Mechanical Engineering, Optical Engineering, Photonics, Physics, or a similar field.
  • Ability and confidence to work hands-on with electrical/optical instruments and equipment in a cleanroom environment.

Nice To Haves

  • Java experience.
  • Knowledge of firmware and embedded systems, including firmware loading, device initialization, and basic firmware/software interaction.

Responsibilities

  • Develop, debug, and maintain test programs and measurement scripts for Photonic IC devices.
  • Design and implement automated test flows, including test sequencing, test parameter configuration, measurement execution, and datalogging.
  • Support device initialization, firmware loading, register configuration, and digital interface communication.
  • Assist in debugging hardware/software integration issues and troubleshooting test execution failures.
  • Collaborate with engineering teams to improve test coverage, measurement repeatability, test efficiency, and reliability.
  • Document test procedures, software utilities, and test results.
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