Research Intern, Embedded AI on Wearables

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    Meta

    10,001+ employeesMenlo Park, CASoftware Development
    Actively hiringPaidSoftware Development
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    Best applied by Nov 25

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    About the role#

    This internship within Reality Labs focuses on building real-time embedded software and hardware acceleration for AR glasses. You will work on computer vision, audio interaction, and large language models to enable on-device AI under strict power and performance constraints. We are looking for researchers to help advance our work on next-generation AR devices.

    What you'll do#

    • Build and test experimental hardware and software systems on AR device prototypes.
    • Write embedded firmware and software for RTOS and mobile operating systems like AOSP.
    • Work alongside researchers and engineers from different disciplines.

    What you'll need#

    • Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
    • Programming experience in C, C++, or Python.
    • Knowledge of computer architecture and hardware-software co-design.
    • Intent to return to your degree program after the internship.
    • Ability to obtain and maintain work authorization in the United States.
    • Experience with hardware-software system prototyping using FPGAs.
    • Background in operating systems, drivers, and firmware development.
    • Experience with machine learning frameworks such as PyTorch.
    • Demonstrated embedded software experience through internships, work, coding competitions, or open source contributions.
    • Ability to communicate and work effectively in a team environment.

    Location & details#

    • Location: Redmond, Washington.
    • Type: On-site, full-time internship.
    • Compensation: $7,313 to $12,667 per month.

    About Meta

    Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.

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