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Intern, Laser Die Validation

Ayar Labs logoAyar Labs
TypeInternship
WorkplaceOn-site
SeniorityIntern
LocationSan Jose, CA
Engineering

Position: Intern, Laser Die Validation Location: San Jose, CA Job Id: 749 # of Openings: 0

Intern, Laser Die Validation

Term: May to August 2027

Please note:

  • Position location is on-site in San Jose OfficeThere is no immigration (except F1) or relocation support for this position
  • Posting expires upon application threshold

Position Description

Ayar Labs, the global leader in optical I/O chiplets, is harnessing silicon photonics to revolutionize the scaling of AI compute hardware. Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are using light instead of electricity to move data faster, further, and with a fraction of the energy needed to fuel the explosive growth of AI models.

Backed by industry giants like NVIDIA, AMD and Intel and manufactured in partnership with the world’s leading semiconductor ecosystem, Ayar Labs’ co-packaged optics solution is key to unleashing next-generation AI scale-up architectures.

We are looking for a highly motivated graduate intern to join our laser validation group within the Laser development team, where you will inspect the conformance to the specification and explore the limits of the laser chip in operation. Projects are tailored to your experience and interests and you will be mentored by a senior engineer alongside a highly experienced engineering team developing the laser source product.

You will execute tests and experiments to validate and verify laser die (chip on submount) performance with respect to the manufacturer's specification and product specification. You will help with instrumental and mechanical set up modifications per individual test requirements. These will include mechanical and optical alignment, data acquisition software optimizations and data analysis.

Intern Skillset Needed

  • Completed basic course structure in physics/engineering preferably including electrodynamics, calculus, solid state physics, optics or laser related areas.
  • Strong programming skill in Python.
  • Preferred experience hands on working in a research lab, performing tests and optoelectronic test set ups.
  • Independently working, motivated candidate with ability to complete assigned projects.

Education Requirements

  • Candidate should be actively pursuing M.S. or Ph.D in Physics, Electrical Engineering, Applied Physics or Optics

NOTE TO RECRUITERS:
Principals only. We are not accepting resumes from recruiters for this position. Remuneration for recruiting activities is only applicable subject to a signed and executed agreement between the parties. Please don’t send candidates to Ayar Labs, and do not contact our managers.

Ayar Labs is an Affirmative Action/Equal Opportunity Employer and is strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, sex, national origin, race, color, ethnicity, creed, religion, gender identity, sexual orientation, disability, veteran status, or any other characteristic protected by law. It is the policy of Ayar Labs to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. Veterans are more than welcome and encouraged to apply.

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Company info

Ayar Labs logo

Ayar Labs

Transforming AI Architecture with Co-Packaged Optics

Ayar Labs is transforming AI infrastructure by accelerating data movement. Recognizing that the complexity and size of AI models are increasing at a rate that traditional interconnect technology cannot handle, the company has developed the industry’s first optical I/O solution that enables customers to maximize the compute efficiency and performance of growing AI infrastructure, while reducing costs, latency and power consumption. Based on open standards and optimized for both AI training and inference, Ayar Labs’ optical I/O solution is backed by a robust ecosystem that enables it to integrate smoothly into AI systems at scale.

Private companyOtherRecently raisedMega roundIn the news
Founded2015
HQSan Francisco, United States
Size51–200 employees
IndustryComputer Hardware Manufacturing
Latest fundingOther · Sep 10, 2026
Tech stackopencv, jenkins, visual-studio-code, propel, toolkit, lenses, bridge, edx, chargeback, cadence-spectre, c10, amazon-efs, power-bi, arena-plm, aws-systems-manager, microsoft-forefront, smartsheet, synopsys-vcs, argo-cd, paycor
News
  • OCP Global Summit 2026 | Wiwynn, Ayar Labs | Kinny Chen, Vishal Chandrasekar | Open Rack-Scale Optical Infrastructure for AI Scale-Up with CPO
  • OCP Global Summit 2026 | Ayar Labs, Wiwynn | Nandita Aggarwal, Willie Chen | Rack-Ready High-Power ELSFPs

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