Intern, Link Modeling/Architecture - Statistical Analysis & Modeling

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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 13

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    About the role#

    We are looking for an intern to join our Link Architecture team for the summer of 2027. You will work alongside engineers to build statistical device models and system simulations. This role focuses on bridging the gap between simulation and real-world measurements.

    What you'll do#

    • Create statistical device models and system simulations.
    • Work with design and test teams to correlate device measurements to system-level simulations.
    • Complete projects tailored to your specific experience and interests.
    • Receive mentorship from a senior engineer throughout your internship.

    What you'll need#

    • Current enrollment in a B.S., M.S., or Ph.D. program in Physics, Electrical Engineering, Data Science, Photonics, Optics, or a related field.
    • Solid understanding of semiconductor or optical physics.
    • Experience with statistical data analysis and processing large datasets.
    • Proficiency in Python, including libraries like Pandas, NumPy, and SciPy.
    • Ability to work independently and manage your time to complete projects.
    • Capability to collaborate effectively with a team.

    Location & details#

    • This is a full-time, paid internship.
    • The role is based on-site in San Jose, California.
    • The term runs from May to August 2027.
    • We do not provide relocation or immigration support for this position.

    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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