Hardware Systems Architect, AI Hardware Products

Meta; Menlo Park (CA); On-site; USD 240,000 - 400,000; Full time

Job summary

Meta is seeking a Hardware Systems Architect to lead the architecture of upcoming consumer AI hardware products, shaping strategy and roadmaps across prototypes and production-ready designs.

With 12+ years in architecture or systems engineering, you will converge subsystems across electrical, silicon, firmware, sensors, optics, and AI, coordinating with Product, Partnerships, and supply chain to drive concepts into mass-produced products.

Qualifications

• B.S. in Electrical Engineering, Computer Engineering, or related fields; 12+ years in architecture definition or systems engineering in electrical, silicon, firmware, audio, sensors, wireless, displays, optical systems
• Fundamentals of computer architecture and system design
• Experience in rapid prototyping and proof-of-concept models to support architectural decisions
• Strong communication with Product Development engineers, Product Managers, and cross-functional teams
• Experience partnering with external partners at supply base and product levels
• Ability to navigate ambiguity, map trade spaces, and transition concepts from prototype to mass production
• Experience in systems-level engineering, SoC evaluation, optical systems, sensors, CV algorithms, software, AI
• Experience with consumer electronics systems spanning hardware, firmware, and software integration
• Modeling system power to inform trade-offs (battery, thermals, silicon roadmaps)
• Demonstrated AI skill development (prompt/context engineering, agent orchestration)
• Experience creating system models to analyze compute, latency, and inter-subsystem bandwidths
• Education/experience: M.S./Ph.D. or equivalent industry experience
• Understanding of memory subsystems, mass storage, filesystem, memory management

Responsibilities

• Lead architecture definition and convergence of complex subsystems and product architectures
• Drive incubation of new technologies from proof of concept to mass production
• Communicate across ID, hardware engineering, partnerships, supply chain, and core technology groups
• Lead integration of AI tools to optimize workflows and drive impact
• Model system power and data paths to inform architectural decisions
• Collaborate with cross-functional teams to align strategy, roadmap, and product architecture

Skills

System-level engineering

Fundamentals of computer architecture

Cross-functional collaboration

Prototype to mass production

AI systems for audio/visual data

SoC evaluation

Power modeling & trade-offs

AI tool integration

Memory subsystems understanding

Education

B.S. in Electrical/Computer Engineering or related fields

M.S./Ph.D. in Electrical/Computer Engineering or related field

Job description

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 ID, 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 filesystem 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