Principal AI Systems Architect for On-Device AI Wearables

Meta; Cheyenne (WY); On-site; USD 260,000 - 319,000; Full time

Job summary

Meta Reality Labs seeks a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing systems powering on-device AI inference and training. You will shape silicon and systems roadmaps across wearables and spatial computing devices, driving decisions on custom silicon, memory subsystems, and interconnects.

You will lead cross-functional efforts with silicon, firmware, software, and product teams, develop architectural models and

Qualifications

• 15+ years in hardware systems architecture, with a focus on AI/ML or HPC
• SoC/system-level architecture for AI inference or training workloads
• Hardware-software co-design for on-device AI workloads
• System performance models and using simulation or analytical frameworks
• Track record of driving multi-year hardware architecture roadmaps and influencing silicon strategy across large engineering organizations

Responsibilities

• Define and own the multi-year architectural roadmap for AI compute subsystems across Meta's hardware product lines
• Lead system-level architecture exploration for AI inference and training accelerators
• Drive cross-functional alignment across silicon, firmware, software, and product teams
• Develop and maintain architectural models, performance simulators, and analytical frameworks
• Identify and resolve architectural bottlenecks across the AI compute stack
• Establish technical direction for AI hardware platform decisions
• Partner with ML researchers and compiler teams to co-design hardware-software interfaces
• Represent hardware architecture in executive reviews and author architecture records
• Mentor engineers across hardware architecture and systems engineering
• Evaluate emerging AI workloads and compute paradigms for future investments

Skills

AI hardware architecture

SoC architecture

hardware-software co-design

memory subsystem design

performance modeling

interconnect topology

power-performance-tradeoffs

cross-functional leadership

architecture decision records

Tools

RTL handoff

Physical design constraints

post-silicon validation

Job description

Meta Reality Labs seeks a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing systems powering on-device AI inference and training. You will shape silicon and systems roadmaps across wearables and spatial computing devices, driving decisions on custom silicon, memory subsystems, and interconnects.

You will lead cross-functional efforts with silicon, firmware, software, and product teams, develop architectural models and