Intern, Link Modeling/Architecture - Statistical Analysis & Modeling

Ayar Labs
  • San Jose, California
    Today

    Job Description

    Intern, Link Modeling/Architecture - Statistical Analysis & Modeling
    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. 

    We are looking for motivated undergraduate or graduate interns to join our Link Architecture team, where you will develop statistical device models and system simulations that bridge the gap between simulation and measurement. In this role, you will collaborate with design and test teams to correlate device measurements to device models and system level simulations. 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.

    Intern Skillset Needed
    • Strong understanding of optical and/or semiconductor physics.
    • Demonstrated experience in statistical data analysis and processing large datasets.
    • Strong programming skills in Python; familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) is required.
    • 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. 
    Education Requirements
    • Candidate should be actively pursuing a B.S., M.S., or Ph.D. degree in Photonics, Optics, Physics, Electrical Engineering, Data Science, or a related field.
     
    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.

    Numbers & Facts

    LocationSan Jose, California
    Websitehttps://ayarlabs.com/careers/

    Skills

    • Architectural Analysisunmatched
    • Artificial Intelligence (AI)unmatched
    • Computer Hardwareunmatched
    • Computer Programmingunmatched
    • Data Analysisunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Ecosystemsunmatched
    • Electrical Engineeringunmatched
    • Electricityunmatched
    • Input/Outputunmatched
    • Intel Product Familyunmatched
    • Mentoringunmatched
    • Opticsunmatched
    • Photonicsunmatched
    • Physicsunmatched
    • Python Programming/Scripting Languageunmatched
    • Semiconductorsunmatched
    • Simulationunmatched
    • Statistical Modelingunmatched
    • Statisticsunmatched
    • Team Playerunmatched
    • Test Designunmatched
    • Time Managementunmatched

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