Intern, Photonics Design - Multiphysics Design
San Jose, CAInternship$50–60/hrPosted 3 days agoStill listed 1 day ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near San Jose, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
The Photonics Design intern will help address thermal and multiphysics challenges for co-packaged optics using electromagnetic, thermal, and charge-transport simulations. The role connects simulation with silicon validation data, examining how packaging, firmware, and device physics interact and applying those findings to future submissions. The internship runs from May to August 2027 and is based onsite in Ayar Labs’ San Jose office.
Skills & qualifications
Skills
Qualifications
Full job description
Position: Intern, Photonics Design - Multiphysics Design Location: San Jose, CA
Job Id: 762
of Openings: 0
Intern, Photonics Design - Multiphysics Design Term: May to August 2027
Please note:
- Position location is on-site in San Jose Office
- There 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.
You will help solve the thermal and multiphysics problems that decide whether disruptive CPO succeeds, using electromagnetic, thermal, and charge-transport simulations on a leading-edge EIC-PIC process and packaging platform. You’ll get to close the loop between simulation and silicon: you’ll dig into real Validation data to learn how packaging, firmware, and device physics (such as ring-heater thermals) interact, and feed those lessons into the next submission.
Intern Skillset Needed
- Proficiency with Python
- Experience writing well-structured code and developing a code base as part of a team
- Deep understanding of photonic devices: couplers, photodetectors, electro-optic modulators, micro-ring resonators, gratings
- Experience with simulation and design tools for passive and active optical devices (e.g., FDTD, charge transport)
Education Requirements
- Candidate should be actively pursuing a PhD in Electrical Engineering or other Engineering with Photonics specialization
Pay Range: $50 - 60/hourly, depending on education level
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.
Apply for this Position
Prepare for this role
You've read the whole posting — now see how you match it.
