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    Internships/QuEra Computing Inc.

    Internship - Photonics Design

    QuEra Computing Inc. · Boston, Massachusetts, United States

    rollingOn-sitePaidPosted 2026-06-02
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    About the role#

    QuEra Computing is seeking a Photonic Engineer Intern to join the Photonics team. This role focuses on building AI-driven design pipelines to accelerate the development of photonic integrated circuits (PICs) for neutral-atom quantum computers. You will work on state-of-the-art optimization workflows to improve the speed and efficiency of iterating and taping out novel photonic components.

    What you'll do#

    • Explore and build AI-driven photonics design and optimization pipelines to accelerate component design.
    • Incorporate Design of Experiments (DoE) and Design for Manufacturing (DfM) principles into PIC design to improve yield and process robustness.
    • Partner with photonics engineers and systems teams to align PIC designs with the requirements of neutral-atom quantum computer integration.

    What you'll need#

    • Currently pursuing or recently completed a degree in computer science, physics, mathematics, or a related field.
    • Strong programming skills in Python and experience with AI tools.
    • Proficiency with PIC development tools and advanced optimization algorithms.
    • Solid understanding of PIC fundamental physics and foundry processes.
    • Experience incorporating Design of Experiments (DoE) and Design for Manufacturing (DfM) into PIC design.
    • Excellent problem-solving, analytical, communication, and teamwork skills, with evidence of independent work.

    Location & details#

    • Location: Boston, Massachusetts
    • Modality: On-site
    • Status: Full-time internship
    • Compensation: Paid internship
    Relevant fields:Computer SciencePhysicsMathematics

    About QuEra Computing Inc.

    QuEra Computing Inc. is a Boston-based research firm founded in 2018 that focuses on the creation of neutral-atom quantum computers. With a workforce of 51 to 200 employees, the company utilizes research from institutions like MIT and Harvard to develop scalable hardware for complex computational tasks. Its primary technology includes the 256-qubit Aquila system, which is accessible for public use through cloud platforms.

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