Meta
Research Intern, Embedded AI on Wearables (PhD)
Redmond, WA · Internship · Posted Oct 26, 2026
- Education
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Electrical Engineering, or a related field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Advance on-device AI for AR glasses by building and evaluating embedded hardware-software systems under performance, power, and form-factor constraints.
What you'll do
- Build and characterize experimental hardware-software systems on AR devices and prototypes.
- Develop embedded firmware and software for RTOS and mobile operating systems such as AOSP.
- Collaborate with researchers and engineers across disciplines.
What they ask for
- Currently pursuing or in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field.
- Programming and simulation experience with languages such as C/C++ and Python.
- Experience with computer architecture and hardware-software co-design and co-optimization.
- Must obtain and maintain work authorization in the country of employment; intends to return to a full-time degree program after the internship.
Nice to have
- Experience prototyping hardware-software systems using embedded devices and FPGAs; operating systems, drivers, and embedded firmware.
- Experience with a machine learning framework such as PyTorch; demonstrated embedded software experience through work, competitions, or open-source contributions.
Pay
$7,313/month to $12,667/month (currency not stated; pay type not stated)
Tools
C/C++, Python, RTOS, AOSP, FPGAs, PyTorch
AI focus
Advance on-device AI in computer vision, audio interaction, and large language models for AR glasses.
Model-written summary · the original posting is authoritative