AR/VR Imaging & On-Device AI Hardware Architect

Meta; Nashville (TN); On-site; USD 208,000 - 289,000; Full time

Job summary

Meta Reality Labs is seeking a principal AI Systems Engineer to shape the hardware architecture strategy for on-device AI in VR, AR, wearables, and spatial computing. You will lead end-to-end design decisions for AI inference, training workloads, and advanced imaging pipelines across devices.

You will own system performance modeling, engage with partners across silicon, firmware, and ML platforms, and guide cross-functional teams to align imaging and AI roadmaps with product priorities.

Qualifications

• 12+ years of hardware systems architecture experience in AI, imaging, or high-performance compute.

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 for on-device AI workloads.
• Architect end-to-end camera and imaging pipelines including ISP integration and real-time processing for perception applications.
• Drive HW-SW co-design with silicon, firmware, camera, and ML teams to optimize AI and imaging performance.
• Define architectural requirements for camera subsystems with multi-camera synchronization, depth sensing, and low-latency processing.

Skills

AI hardware architecture

camera pipeline design

ISP integration

on-device AI

systems performance modeling

hardware-software co-design

SoC architecture

cross-functional leadership

silicon strategy

risk trade-off analysis

Job description

Meta Reality Labs is seeking a principal AI Systems Engineer to shape the hardware architecture strategy for on-device AI in VR, AR, wearables, and spatial computing. You will lead end-to-end design decisions for AI inference, training workloads, and advanced imaging pipelines across devices.

You will own system performance modeling, engage with partners across silicon, firmware, and ML platforms, and guide cross-functional teams to align imaging and AI roadmaps with product priorities.