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Intern, Architect - AI/ML Network Topology, Performance Analysis

Ayar Labs
San Jose, CA Intern
POSTED ON 2/18/2025
AVAILABLE BEFORE 4/16/2025
Intern, Architect - AI/ML Network Topology, Performance Analysis
Location: San Jose, CA (onsite)
Org: CTO Office, Architecture

Summary of position:
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, their hardware and resource requirements for training and inference operation, 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, where you will explore and analyze AI/ML network topologies for system performance metrics, and determine where Ayar Labs’ in-package silicon photonic technology can be best deployed.

Projects are tailored to your experience and interests, and you will be mentored by a senior engineer as you work alongside world-class engineers and scientists to help drive the optical I/O revolution.

Essential Functions:
Explore and analyze AI/ML network topologies for system performance metrics, and determine where Ayar Labs’ in-package silicon photonic technology can be best deployed.

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 a strong plus
Pay Range:
Bachelor's  $39.00 - $50.00
Master's    $41.00 - $55.00
PhD           $53.00 - $65.00

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 please don't contact our managers.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 across distances spanning 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, UC Berkeley, University of Colorado Boulder, and Boston University, 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 and a supportive culture is the best way to drive innovation and achieve big wins.  The Summer Internship Program has been an integral part of the DNA of the company since its founding in 2015, and former interns occupy leading engineering positions both at Ayar Labs today, and at a number of other leading companies in the field.  Join our team and our mission!

EEO/AA
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, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.

Salary : $39 - $50

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