Senior AI Systems Architect - Imaging & On-Device Vision

Meta; Tallahassee (FL); 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 XR devices. You will shape the silicon and systems roadmap for on-device AI inference and training, spanning wearables, headsets, and spatial computing.

This role focuses on imaging systems and camera pipelines for real-time perception in immersive experiences.

Qualifications

• 12+ years of hardware systems architecture experience focused on AI, ML, imaging, or high-performance compute.
• Deep expertise in camera pipeline architecture, ISP, sensor integration, and imaging system design.
• Experience defining SoC or system-level architecture for AI inference or training workloads, including memory and interconnect.
• Experience architecting imaging subsystems for real-time vision, multi-camera, depth sensing.
• Experience with hardware-software co-design methodologies for on-device AI and imaging workloads, including ML compiler stacks and ISP tuning workflows.
• Experience developing system performance models and analytical frameworks to evaluate architectural trade-offs at scale.
• Track record of driving multi-year hardware architecture roadmaps for imaging and AI systems and influencing silicon strategy across large engineering organizations.

Responsibilities

• Define multi-generation hardware architecture strategy for AI inference and training systems 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

Hardware architecture

AI systems

Imaging systems

System performance modeling

Hardware-software co-design

On-device AI

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 XR devices. You will shape the silicon and systems roadmap for on-device AI inference and training, spanning wearables, headsets, and spatial computing.

This role focuses on imaging systems and camera pipelines for real-time perception in immersive experiences.