Research Intern, Embedded AI on Wearables (PhD)

Our team, within Reality Labs at Meta, brings novel experiences to life on Meta’s AR and AI devices. We were closely involved in the development of multimodal Meta AI on Orion, and we are currently working on the next gen AR glasses. We are looking for upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device AI within the performance, power and form-factor constraints of AR glasses. Within the vast domain of on-device AI, we are currently focussing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the SOTA in one or more of these areas. Responsibilities Build and characterize experimental HW+SW systems on AR devices and device prototypes Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP Collaborate with other researchers and engineers across various disciplines Minimum Qualifications Currently has, or is 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 HW/SW co-design and co-optimization Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Intent to return to full-time degree program after completion of the internship Preferred Qualifications Experience in HW+SW system prototyping using embedded device prototypes and FPGAs Experience in operating systems, drivers, and embedded firmware development Experience working in a machine learning framework, e.g. PyTorch Experience working and communicating cross functionally in a team environment Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) $7,313/month to $12,667/month + benefits