Principal AI & Imaging Systems Architect

Meta; New York (NY); Hybrid; USD 250,000 - 380,000; Full time

Job summary

Meta Reality Labs is seeking a principal-level AI Systems Engineer to shape the hardware architecture strategy for next-generation AI-accelerated computing systems powering AR/VR products. You will define the silicon and systems roadmap for on-device AI inference and training across wearables, headsets, and spatial computing platforms, focusing on imaging systems and camera pipelines.

You will drive multi-year roadmaps for AI and imaging architectures, collaborate with ML and camera teams, and

Qualifications

• Deep experience in camera pipeline architecture and ISP design.
• Experience defining SoC or system-level architecture for AI workloads.
• Experience architecting imaging subsystems for real-time computer vision.
• Familiarity with ML compiler stacks and ISP tuning workflows.

Responsibilities

• Define hardware architecture strategy for AI-accelerated computing systems.
• Shape silicon and systems roadmap for on-device AI inference and training.
• Drive architecture of imaging systems, camera pipelines, and ISPs.
• Collaborate with ML research and camera teams to deploy hardware-efficient models.
• Evaluate memory technologies and interconnect topologies for performance.

Skills

Camera pipeline

SoC architecture

AI inference

Imaging subsystems

Hardware-software co-design

Performance modeling

Roadmap planning

RTL handoff

Job description

Meta Reality Labs is seeking a principal-level AI Systems Engineer to shape the hardware architecture strategy for next-generation AI-accelerated computing systems powering AR/VR products. You will define the silicon and systems roadmap for on-device AI inference and training across wearables, headsets, and spatial computing platforms, focusing on imaging systems and camera pipelines.

You will drive multi-year roadmaps for AI and imaging architectures, collaborate with ML and camera teams, and