At Reality Labs, our team brings novel experiences to life on Meta’s AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses.
Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
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
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 the country of employment at the time of hire, and maintain on-going work authorization during employment 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) * Intent to return to degree-program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar
