AI Hardware Architect – AR/VR Imaging & On‑Device AI

Meta; Pierre (SD); On-site; USD 208,000 - 289,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta Reality Labs seeks a principal AI Systems Engineer to define hardware architecture strategy for on-device AI in VR/AR wearables, shaping silicon and system roadmaps for next‑gen AI workloads. You will drive imaging pipelines, ISP integration, and cross-functional co-design with silicon, firmware, and ML teams to optimize performance and efficiency.

The role emphasizes architecture leadership across custom accelerators, ISPs, and cameras, with a focus on low-latency perception and real-time

Qualifications

• 12+ years of experience in hardware systems architecture with AI, ML, imaging, or high-performance compute.
• Deep expertise in camera pipeline architecture including ISP, sensors, and imaging system design.
• Experience defining SoC or system-level architecture for AI inference or training workloads.
• Experience architecting imaging subsystems for real-time computer vision, multi-camera systems, depth sensing.
• Experience with hardware-software co-design for on-device AI and imaging workloads, including ML compiler stacks and ISP tuning.
• Experience developing system performance models and evaluating architectural trade-offs at scale.
• Track record of driving multi-year hardware architecture roadmaps and influencing silicon strategy.

Responsibilities

• Define multi-generation hardware architecture strategy for AI inference and training across VR, AR, and wearable device platforms.
• Lead system-level architectural exploration and trade-off analysis across compute, memory hierarchy, interconnect fabric, and power delivery for on-device AI workloads.
• Architect end-to-end camera and imaging pipelines, including sensor interfaces, ISP integration, and real-time image processing for computer vision and perception applications.
• Drive hardware-software co-design initiatives by partnering with silicon engineering, firmware, camera systems, and ML platform teams to optimize end-to-end AI and imaging pipeline performance.
• Define architectural requirements for camera subsystems including multi-camera synchronization, depth sensing, and low-latency visual processing for AR/VR applications.
• Establish architectural requirements and performance targets for custom AI accelerators, ISPs, SoCs, and supporting subsystems in spatial computing devices.
• Develop and maintain system performance models and simulation frameworks to evaluate architectural decisions against real-world AI and imaging workload characteristics.
• Provide architectural guidance and technical direction across hardware engineering organizations, aligning imaging and AI roadmaps with product and research priorities.
• Identify and resolve system-level bottlenecks in imaging latency, AI inference throughput, and energy efficiency for wearable and headset form factors.
• Engage with external silicon partners, camera module vendors, and research institutions to evaluate emerging imaging technologies and incorporate them into long-range architecture plans.
• Communicate architectural vision and technical rationale to executive leadership and cross-functional stakeholders through written proposals and design reviews

Skills

AI Systems

Hardware Architecture

Camera Pipeline

SoC Architecture

ISP

ML Compiler Stacks

System Performance Modeling

Hardware-Software Co-Design

Executive Communication

Multi-camera Systems

Job description

Meta Reality Labs seeks a principal AI Systems Engineer to define hardware architecture strategy for on-device AI in VR/AR wearables, shaping silicon and system roadmaps for next‑gen AI workloads. You will drive imaging pipelines, ISP integration, and cross-functional co-design with silicon, firmware, and ML teams to optimize performance and efficiency.

The role emphasizes architecture leadership across custom accelerators, ISPs, and cameras, with a focus on low-latency perception and real-time