Lead AI Hardware Architect - On-Device AI for Wearables

Meta; Helena (MT); On-site; USD 260,000 - 319,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

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. You will shape silicon and systems roadmaps for on-device AI workloads across wearables and spatial computing platforms.

You will lead cross-functional teams to translate AI workloads into hardware specifications, develop performance models, and drive architectural decisions spanning custom silicon and IP integration.

Qualifications

• 15+ years of hardware systems architecture experience in AI/ML or high-performance compute
• Experience defining SoC or system-level architecture for AI inference or training workloads
• Experience with hardware-software co-design for on-device AI workloads, including familiarity with ML compiler stacks, operator fusion, and quantization impacts on hardware design
• Experience developing system performance models and using simulation or analytical frameworks to evaluate architectural trade-offs at scale
• Track record of driving multi-year hardware architecture roadmaps and influencing silicon strategy across large engineering organizations
• Cross-functional collaboration across silicon engineering, firmware, software, and product teams to translate AI workload requirements into hardware specs

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 to translate AI workloads into hardware specifications
• Develop and maintain architectural models, performance simulators, and analytical frameworks
• Identify and resolve bottlenecks across the AI compute stack
• Establish technical direction for AI hardware platform decisions including custom silicon vs third-party IP
• Partner with ML researchers 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 to inform future investments

Skills

Hardware systems architecture

SoC / system-level architecture

Hardware-software co-design

System performance models

Roadmap planning

Cross-functional leadership

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. You will shape silicon and systems roadmaps for on-device AI workloads across wearables and spatial computing platforms.

You will lead cross-functional teams to translate AI workloads into hardware specifications, develop performance models, and drive architectural decisions spanning custom silicon and IP integration.