Lead AI Hardware Architect – On-Device Acceleration

Meta; United States; 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 powering VR/AR products. 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 workload requirements into hardware specifications, develop architectural models and simulators, and drive decisions on custom silicon

Qualifications

• 15+ years of hardware systems architecture experience in AI/ML or HPC.
• Experience defining SoC or system-level AI inference/training architecture.
• Proven ability to drive multi-year hardware roadmaps in large teams.

Responsibilities

• Define and own the multi-year architectural roadmap for AI compute subsystems across Meta's hardware product lines, including wearables and spatial computing devices
• Lead system-level architecture exploration for AI inference and training accelerators, including memory hierarchy design, interconnect topology, and power-performance-area tradeoffs
• Drive cross-functional alignment across silicon engineering, firmware, software, and product teams to translate AI workload requirements into hardware specifications
• Develop and maintain architectural models, performance simulators, and analytical frameworks to evaluate design tradeoffs at the system level
• Identify and resolve architectural bottlenecks across the AI compute stack, from neural network operators to silicon microarchitecture
• Establish technical direction for AI hardware platform decisions, including custom silicon versus third-party IP evaluation and integration strategies
• Partner with machine learning researchers and compiler teams to co-design hardware-software interfaces that maximize AI model efficiency on constrained wearable platforms
• Represent hardware architecture in executive-level technical reviews, authoring detailed architecture decision records and system specifications
• Mentor and provide technical guidance to other engineers across hardware architecture and systems engineering disciplines
• Evaluate emerging AI workloads, model architectures, and compute paradigms to proactively inform future hardware platform investments

Skills

AI hardware

System architecture

Memory subsystems

Interconnect topology

Hardware-software co-design

Modeling & simulation

Leadership

Tools

RTL

EDA 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/AR products. 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 workload requirements into hardware specifications, develop architectural models and simulators, and drive decisions on custom silicon