Hardware Systems Architect, AI Hardware Products

As a Hardware Systems Architect at Meta Superintelligence Labs, you will lead architecture on upcoming consumer AI hardware products, help drive the overall strategy and roadmap, and be a part of the teams designing, building, and testing prototypes for future consumer AI experiences.

The Hardware 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 AI systems. These can span new sensing systems, display/optics systems, input and output devices. The role requires technical communication with cross-functional teams across , hardware engineering, partnerships, supply chain, and core technology groups to drive the incubation of new technologies from proof of concept through integration into products for mass production.

Starting with a broad engineering background in electrical engineering, mechanical engineering, computer science, semiconductors or related fields, we’re looking for a unique system designer or architect.

• B.S. in Electrical Engineering, Computer Engineering, and/or other related technical fields, with product experience in electrical, systems, or computer engineering 12+ years of experience with architecture definition and/or systems engineering in one or more of the following areas: electrical, silicon, firmware, audio, sensors, wireless connectivity, displays, and optical systems
• Fundamentals of computer architecture
• Experience in rapid prototyping and creating proof of concept models to share ideas and improve architectural decisions
• Communication experience working with Product Development engineers, Product Managers, and other hardware/software cross-functional teams
• Experience working with partnership teams and external partners at both a supply base and product level
• Experience working in cross-functional teams, navigating ambiguity, mapping trade spaces, and transitioning concepts from prototype to high-volume consumer products.
• Experience in systems-level engineering, experience with SoC evaluation, optical systems, sensors, CV algorithms, software, AI etc
• Experience with consumer electronics systems spanning hardware, firmware, and software integration
• 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)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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
• M.S./Ph.D. in Electrical Engineering, Computer Engineering, or other related technical field, or equivalent industry experience
• Understanding of memory subsystems including mass storage and file system as well as volatile memory, memory management and its impacts on overall system performance
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with AI systems aimed at capturing/processing/delivering audio visual, IMU or other positional data streams
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience in one or more of the following areas: firmware development, programming, computer vision, Android/Zephyr OSs, game development and complex sensing systems