Principal AI Systems Architect - AR/VR Imaging and Hardware

Meta; Juneau (AK); 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 devices. You will shape the silicon and systems roadmap for on-device AI inference and training across wearables and spatial computing platforms.

You will drive end-to-end camera and imaging pipeline architecture, including ISP integration and real-time processing, while leading hardware-software co-design efforts with

Qualifications

• 12+ years of experience in hardware systems architecture focusing on AI, ML, imaging systems, or high-performance compute.
• Deep expertise in camera pipeline architecture, including 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 with multi-camera systems, depth sensing, and visual-inertial odometry.
• Experience with hardware-software co-design for on-device AI and imaging workloads, including ML compiler stacks and ISP tuning workflows.
• Experience developing system performance models and evaluating architectural trade-offs at scale.
• Track record of driving multi-year hardware roadmaps for imaging and AI systems across large teams.

Responsibilities

• Define multi-generation hardware architecture strategy for AI inference and training across VR/AR wearables.
• Lead system-level exploration across compute, memory, interconnect, and power for on-device AI workloads.
• Architect end-to-end camera and imaging pipelines with real-time image processing.
• Drive hardware-software co-design with silicon, firmware, camera systems, and ML platforms to optimize performance.
• Define requirements for camera subsystems including multi-camera synchronization and depth sensing.
• Establish targets for custom AI accelerators, ISPs, SoCs, and supporting subsystems.
• Develop system performance models and simulation frameworks to evaluate decisions.
• Provide architectural guidance across hardware teams aligning imaging and AI roadmaps.
• Identify and resolve bottlenecks in imaging latency, AI inference throughput, and energy efficiency.
• Engage with external silicon partners and research institutions to evaluate imaging technologies.
• Communicate architectural vision to executives and cross-functional stakeholders.

Skills

AI hardware

Camera pipelines

SoC architecture

Co-design

Performance modeling

Executive communication

Tools

ML compiler stacks

ISP tuning workflows

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 devices. You will shape the silicon and systems roadmap for on-device AI inference and training across wearables and spatial computing platforms.

You will drive end-to-end camera and imaging pipeline architecture, including ISP integration and real-time processing, while leading hardware-software co-design efforts with