battery life, thermals, silicon roadmaps, power load profiles) MS/PhD in Electrical Engineering, Computer Engineering, or other related technical field, or equivalent industry experience Experience in one or more of the following areas: firmware development, programming, computer vision, Android/Zephyr OSs, game development and complex sensing systems Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with AR/VR or systems aimed at capturing/processing/delivering audio visual, IMU or other positional data streams Experience creating system models to analyze system compute, latency and communication interface bandwidths across multiple subsystems within a heterogeneous compute environment in order to define the system architecture to meet the overall goals of the product definition Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Understanding of memory subsystems including mass storage and filesystem as well as volatile memory, memory management and its impacts on overall system performanceMeta builds technologies that help people connect, find communities, and grow businesses. Own platform system architecture definition across one or more subsystems including compute/memory, displays/optics, electrical engineering, sensors, audio, wireless connectivity, I/O and firmware from initial conception through prototyping, product development, and production ramp Across a portfolio of products, work with other system architects and SW engineering teams to understand and document requirements for workloads that need to be supported.