Principal AI Hardware Architect for Imaging & Vision

Meta; Little Rock (AR); On-site; USD 208,000 - 289,000; Full time

Job summary

Meta Reality Labs is seeking a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing systems powering VR/AR wearables and spatial computing platforms.

You will shape long-term silicon and systems roadmaps for on-device AI inference and training workloads, focusing on imaging systems, camera pipelines, and software-hardware co-design to push performance and efficiency.

Qualifications

• 12+ years of experience in hardware systems architecture and a focus on AI, imaging, or high-performance compute systems.
• Deep expertise in camera pipeline architecture, ISP, sensor integration, and end-to-end imaging system design.
• Experience defining SoC or system-level architecture for AI inference or training workloads, including memory subsystem design and interconnect topology.
• Experience architecting imaging subsystems for real-time computer vision, including multi-camera systems and depth sensing.

Responsibilities

• Define multi-generation hardware architecture strategy for AI inference and training across VR/AR/wearables.
• Lead system-level architectural exploration across compute, memory, interconnect, and power delivery for on-device AI workloads.
• Architect end-to-end camera and imaging pipelines with sensor interfaces, ISP integration, and real-time processing.
• Drive hardware-software co-design initiatives with silicon, firmware, camera systems, and ML platforms teams to optimize AI and imaging performance.
• Define architectural requirements for camera subsystems including multi-camera synchronization and low-latency processing for AR/VR.
• Establish requirements 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.
• Provide architectural guidance across hardware teams aligning imaging and AI roadmaps with product priorities.
• Identify and resolve system bottlenecks in imaging latency, AI inference throughput, and energy efficiency for wearables.
• Engage with external silicon partners and research institutions to evaluate imaging technologies for long-range plans.
• Communicate architectural vision and technical rationale to executives and cross-functional stakeholders.

Skills

AI systems

Hardware architecture

Camera pipeline

ML compiler stacks

System performance models

Tools

ISP tuning workflows

simulation frameworks

Job description

Meta Reality Labs is seeking a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing systems powering VR/AR wearables and spatial computing platforms.

You will shape long-term silicon and systems roadmaps for on-device AI inference and training workloads, focusing on imaging systems, camera pipelines, and software-hardware co-design to push performance and efficiency.