Intern, Photonics Design - Multiphysics Design

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Ayar Labs

51-200 employeesFounded 2015San Jose, CaliforniaComputer Hardware Manufacturing
Actively hiringPaidSummer 2027Computer Hardware Manufacturing
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Best applied by Nov 21

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About the role#

As a Photonics Design Intern, you will focus on solving thermal and multiphysics challenges critical to the success of co-packaged optics. You will work with electromagnetic, thermal, and charge-transport simulations using our EIC-PIC process and packaging platform. This role involves closing the loop between simulation and silicon by analyzing validation data to understand the interaction between packaging, firmware, and device physics, such as ring-heater thermals. These insights will directly inform future design submissions.

What you'll do#

  • Solve thermal and multiphysics problems through electromagnetic, thermal, and charge-transport simulations.
  • Apply the EIC-PIC process and packaging platform to your design work.
  • Analyze validation data to understand how device physics, firmware, and packaging interact.
  • Translate simulation and validation findings into actionable improvements for upcoming submissions.

What you'll need#

  • Current enrollment in a PhD program for Electrical Engineering or a related engineering field with a specialization in Photonics.
  • Proficiency in Python and experience writing well-structured code.
  • Experience working within a team to develop a code base.
  • Deep understanding of photonic devices including couplers, photodetectors, electro-optic modulators, micro-ring resonators, and gratings.
  • Practical experience with design and simulation tools for active and passive optical devices, such as FDTD and charge transport.

Location & details#

  • This internship is based on-site in San Jose, California.
  • The term runs from May to August 2027.
  • This is a full-time, paid position.
Relevant fieldsElectrical Engineering

About Ayar Labs

Ayar Labs develops optical I/O technology for AI infrastructure. Founded in 2015 and based in San Jose, California, the company employs between 51 and 200 people. Its hardware solutions aim to improve data movement efficiency for AI training and inference. The company operates as a privately held entity within the computer hardware manufacturing sector.

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