Meta Reality Labs Research (RLR) is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At our lab, we aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. RLR is looking for a talented postdoc research scientist to research on compute solutions for accelerating the progression to authentic social presence in virtual reality with hardware and software codesign. In our current pipeline, a multitude of sensing components, including image sensors, microphones, and inertial measurement units are installed on the headset prototypes in order to collect a rich suite of information that reflects the user's physical state, with an emphasis on modality synchronicity and latency minimization; this information is then processed by our state-of-the-art algorithms running on existing SoC platform or custom energy efficient silicon to allow for a computational representation of the user. Individuals in this role are expected to be recognized experts in identified research areas such as computer architecture, machine learning, and edge computing, particularly including areas such as neural network (NN) accelerator modeling and design, neural network architecture search (NAS), parallel computing, and compiler design and optimization. The ideal candidate will have a keen interest in producing creative compute architecture to make authentic social presence more energy efficient while running at real-time. You will work in a dynamic cross-functional team including research scientists, silicon experts and software engineers, as well as platform design and quality evaluation experts. Strong communication and interpersonal skills are required. This Postdoctoral position is for 24 months.