Intern, Architect Large-Scale AI Cluster Designs & Analysis of AI Workloads
Ayar Labs, San Jose, CA, United States
Position: Intern, Architect Large-Scale AI Cluster Designs & Analysis of AI Workloads
Location:
San Jose, CA
Job Id: 510
# of Openings: 0
Intern, Architect Large-Scale AI Cluster Designs & Analysis of AI Workloads
Term: May through August, 2026
Department: CTO Office
Please note:
Position location is on-site in San Jose Office
There is no immigration (except for F1) or relocation support for this position
Posting expires upon application threshold
Job Summary Ayar Labs, the global leader in optical I/O chiplets, is harnessing silicon photonics to revolutionize the scaling of AI compute hardware. Our architecture team is a key contributor in defining the value of optical I/O technology in AI hardware, through pioneering analyses of leading advanced AI models, hardware and resource requirements for training and inference operations, and the performance gains unlocked by optical I/O. We are looking for a motivated undergraduate or graduate intern to join our architecture team within the Office of the CTO. The projects are tailored to your experience and interests, and you will be mentored by a senior engineer as you work alongside with Ayar Labs engineers to help drive the optical I/O revolution.
Essential Functions
Deploy inference workloads on data center clusters and benchmark the performance.
Collaborate on the design of large-scale AI compute clusters with Ayar Labs’ in-package silicon photonic technology.
Basic Qualifications
Actively pursuing a B.S. or M.S. degree in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, or equivalent.
Familiar with network topologies such as TOR-Leaf-Spine, folded Clos, HyperX, Torus, Dragonfly, etc.
Strong programming skills in Python; familiar with a network simulator such as gem5 or BookSim is a strong plus
Experience in deploying AI workloads on different data center platforms and benchmarking the performance
The ideal candidate is an independent and highly-motivated student who is able to work collaboratively and independently, and can self-manage time effectively to take projects to completion
Pay Range: $44.00 to $55.00 / Hour
About Ayar Labs At Ayar Labs we’re about to revolutionize computing by moving data with light. We’re unleashing processing power for artificial intelligence, high performance computing, cloud and telecommunications by removing the bottlenecks created by today’s electrical I/O -- making it possible to continue scaling computing system performance. Ayar Labs is the first to deliver an optical I/O solution that combines in-package optical I/O chiplets and multi-wavelength remote light sources to replace traditional electrical I/O. This silicon photonics-based I/O solution enables chips to communicate with each other from millimeters to kilometers, to deliver orders of magnitude improvements in latency, bandwidth density, and power consumption.
With our strong collaborations with industry leaders and government, our deep ties to MIT and UC Berkeley, and our commitment to hiring the best engineers in photonics and electronics, joining our team gives you the opportunity to collaborate with renowned experts on challenging, paradigm-shifting work.
We are passionate about delivering in-package optical I/O at scale, leveraging the strength of our patent portfolio and our team of leading interdisciplinary experts. We believe that deep cross-collaboration between teams facilitated by honest, open debate is the best way to drive innovation and achieve big wins. Join our team and experience the possibilities.
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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Location:
San Jose, CA
Job Id: 510
# of Openings: 0
Intern, Architect Large-Scale AI Cluster Designs & Analysis of AI Workloads
Term: May through August, 2026
Department: CTO Office
Please note:
Position location is on-site in San Jose Office
There is no immigration (except for F1) or relocation support for this position
Posting expires upon application threshold
Job Summary Ayar Labs, the global leader in optical I/O chiplets, is harnessing silicon photonics to revolutionize the scaling of AI compute hardware. Our architecture team is a key contributor in defining the value of optical I/O technology in AI hardware, through pioneering analyses of leading advanced AI models, hardware and resource requirements for training and inference operations, and the performance gains unlocked by optical I/O. We are looking for a motivated undergraduate or graduate intern to join our architecture team within the Office of the CTO. The projects are tailored to your experience and interests, and you will be mentored by a senior engineer as you work alongside with Ayar Labs engineers to help drive the optical I/O revolution.
Essential Functions
Deploy inference workloads on data center clusters and benchmark the performance.
Collaborate on the design of large-scale AI compute clusters with Ayar Labs’ in-package silicon photonic technology.
Basic Qualifications
Actively pursuing a B.S. or M.S. degree in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, or equivalent.
Familiar with network topologies such as TOR-Leaf-Spine, folded Clos, HyperX, Torus, Dragonfly, etc.
Strong programming skills in Python; familiar with a network simulator such as gem5 or BookSim is a strong plus
Experience in deploying AI workloads on different data center platforms and benchmarking the performance
The ideal candidate is an independent and highly-motivated student who is able to work collaboratively and independently, and can self-manage time effectively to take projects to completion
Pay Range: $44.00 to $55.00 / Hour
About Ayar Labs At Ayar Labs we’re about to revolutionize computing by moving data with light. We’re unleashing processing power for artificial intelligence, high performance computing, cloud and telecommunications by removing the bottlenecks created by today’s electrical I/O -- making it possible to continue scaling computing system performance. Ayar Labs is the first to deliver an optical I/O solution that combines in-package optical I/O chiplets and multi-wavelength remote light sources to replace traditional electrical I/O. This silicon photonics-based I/O solution enables chips to communicate with each other from millimeters to kilometers, to deliver orders of magnitude improvements in latency, bandwidth density, and power consumption.
With our strong collaborations with industry leaders and government, our deep ties to MIT and UC Berkeley, and our commitment to hiring the best engineers in photonics and electronics, joining our team gives you the opportunity to collaborate with renowned experts on challenging, paradigm-shifting work.
We are passionate about delivering in-package optical I/O at scale, leveraging the strength of our patent portfolio and our team of leading interdisciplinary experts. We believe that deep cross-collaboration between teams facilitated by honest, open debate is the best way to drive innovation and achieve big wins. Join our team and experience the possibilities.
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.
#J-18808-Ljbffr