AI Systems Architect: Imaging & On-Device AI

Meta; Dover (DE); 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 and AR devices.

You will shape the silicon and systems roadmap for on-device AI inference and training, spanning wearables, headsets, and spatial computing platforms, with a focus on imaging and ISP pipelines for real-time perception.

Qualifications

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

Responsibilities

• Define multi-generation hardware architecture strategy for AI inference and training on VR/AR wearables.
• Lead system-level exploration across compute, memory, interconnect, and power for on-device AI workloads.
• Architect camera and imaging pipelines with sensor interfaces and real-time image processing.
• Drive HW-SW co-design with silicon, firmware, camera, and ML teams to optimize AI and imaging pipelines.
• Define camera subsystems requirements: multi-camera sync, depth sensing, low-latency processing.
• Set requirements and targets for custom AI accelerators, ISPs, SoCs, and subsystems in spatial devices.
• Develop system performance models and simulation frameworks to evaluate decisions.
• Provide architectural guidance across hardware groups aligning imaging and AI roadmaps.
• Identify and resolve imaging latency, inference throughput, energy efficiency bottlenecks.
• Engage with external silicon partners and research institutions to evaluate imaging tech.
• Communicate architecture vision to leadership via proposals and reviews.

Skills

AI hardware architecture

Camera pipeline

SoC architecture

System performance modeling

Hardware-software co-design

Education

Bachelor's degree in a related field

Master's degree or PhD in a related field

Tools

Simulation tools

EDA tools

Camera system tools

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 and AR devices.

You will shape the silicon and systems roadmap for on-device AI inference and training, spanning wearables, headsets, and spatial computing platforms, with a focus on imaging and ISP pipelines for real-time perception.