Reality Labs (RL) focuses on connecting people through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of these products require custom silicon. The Silicon team is driving the state of the art forward with breakthroughs in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, to firmware, and algorithms. We are seeking an Embedded DSP Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision (CV), machine learning (ML), and imaging (ISP), Audio, Graphics and Display, through efficient implementation of algorithms on custom DSPs, and HW/SW partitioning and co-design of complex embedded algorithms into custom DSP + HW accelerators. The successful candidate will be required to optimize kernels and libraries from high to low-level coding for current and future in-house heterogeneous compute platforms across custom DSPs and CPUs, or other ISA programmable cores (e.g. Gfx). They will also have the opportunity to contribute in defining architectural requirements and ISA by working with multidisciplinary teams and providing detailed design specifications of such compute platforms.