Principal AI Systems Architect for AR/VR Hardware

Meta; Springfield (IL); 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. You will shape silicon and systems roadmaps for on-device AI inference and training workloads across wearables, headsets, and spatial platforms.

A core focus is driving the architecture of advanced imaging systems and camera pipelines for real-time perception, scene understanding, and

Qualifications

• 12+ years of experience in hardware systems architecture 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
• Experience architecting imaging subsystems for real-time computer vision, multi-camera systems, depth sensing
• Experience with hardware-software co-design methodologies for on-device AI and imaging workloads
• Experience developing system performance models and using simulation or analytical frameworks to evaluate architectural trade-offs
• Track record of driving multi-year hardware architecture 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 ISP integration and real-time processing
• Drive hardware-software co-design with silicon, firmware, camera systems, and ML platforms teams
• Define requirements for camera subsystems including multi-camera synchronization and depth sensing
• Establish targets for AI accelerators, ISPs, SoCs in spatial computing devices
• Develop system performance models to evaluate architectural decisions against AI/imaging workloads
• Provide architectural guidance across hardware teams aligning imaging and AI roadmaps with priorities
• Identify bottlenecks in imaging latency, AI throughput, and energy efficiency
• Engage with external silicon partners and researchers to evaluate imaging technologies
• Communicate vision and rationale to executives through proposals and reviews

Skills

Hardware architecture

AI inference & training

Camera pipeline design

System-level architecture

On-device AI

Hardware-software co-design

Executive communication

Imaging performance modeling

Vendor collaboration

Multi-camera synchronization

Tools

Simulation frameworks

ML compiler stacks

ISP tuning workflows

RTL handoff 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 wearables and spatial computing. You will shape silicon and systems roadmaps for on-device AI inference and training workloads across wearables, headsets, and spatial platforms.

A core focus is driving the architecture of advanced imaging systems and camera pipelines for real-time perception, scene understanding, and