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Reality Labs in Sunnyvale seeks a senior Wearables Systems Architect to drive architecture for AR/AI wearables, including AI Glasses and AR wrist devices. You will steer sub-system convergence, define roadmaps, and lead architecture through proof-of-concept to mass production in collaboration with hardware, software, partnerships and supply chain teams.
You will shape sensing, display/optics, input devices, and system power models, balancing performance, power, and silicon roadmaps while
As a Wearables Systems Architect at Reality Labs, you will lead architecture on upcoming Wearables products (which include AI Glasses, AI Wrist and AR Glass device), help drive the overall strategy and roadmap, and be a part of the teams designing, building, and testing prototypes for future consumer AR and AI experiences.
The Reality Labs Wearables Systems Architect will lead the definition and convergence of complex and novel sub-systems, and product architectures aimed at pushing beyond the state‑of‑the‑art consumer Wearable systems. These can span new sensing systems, display/optics systems, input devices, and full AR Glasses. The role requires technical communication with cross‑functional teams across ID, hardware engineering, partnerships, supply chain and core technology groups to drive incubation of new technologies from proof of concept through integration into products for mass production.
BS in Electrical Engineering, Computer Engineering other related technical field, 15+ years of product experience in electrical, systems or computer engineeringExperience with architecture definition and/or systems engineering in one or more of the following areas: electrical, silicon, firmware, audio, sensors, wireless connectivity and displays/optical systemsFundamentals in computer architectureExperience in rapid prototyping and creating proof of concept models to share ideas and improve architectural decisionsCommunication experience working with Product Development engineers, Product Managers and other hardware/software cross‑functional teamsExperience working with partnerships teams and external partners at both a supply base and product levelYou work well in teams, brainstorm big ideas, work in new technology areas, thrive in ambiguity, are interested in mapping tradespaces, are will drive a concept into a prototype, and can take a prototype and transition into a high‑volume consumer productProven systems skills, experience with SoC evaluation, optical systems, sensors, CV algorithms, software, AI and will work collaboratively with subject matter experts in different fields to make architectural trade‑offsProven technical understanding of consumer electronics and Wearable systems across the stack Experience modeling system power and, using those models, inform trade‑offs against key architectural decisions (e.g. battery life, thermals, silicon roadmaps, power load profiles)MS/PhD in Electrical Engineering, Computer Engineering, or other related technical field, or equivalent industry experienceExperience in one or more of the following areas: firmware development, programming, computer vision, Android/Zephyr OSs, game development and complex sensing systemsDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with AR/VR or systems aimed at capturing/processing/delivering audio visual, IMU or other positional data streamsExperience 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 definitionDemonstrated 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 performance