Principal AI Systems Architect - On-Device Acceleration

Meta

Lansing (MI)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Meta Reality Labs seeks a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing powering virtual and augmented reality products. You will shape the long-term silicon and systems roadmap for on-device AI inference and training workloads across wearables, headsets, and spatial computing platforms.

You will drive architectural decisions spanning custom silicon, memory subsystems, interconnects, and software-hardware co-design,

Qualifications

  • 15+ years of hardware systems architecture experience focused on AI/ML or HPC.
  • Experience defining SoC or system-level architecture for AI inference/training workloads.
  • Experience building system performance models and evaluating architectural trade-offs at scale.
  • Proven record driving multi-year hardware architecture roadmaps and silicon strategy.

Responsibilities

  • Define and own the multi-year architectural roadmap for AI compute subsystems across Meta's hardware products.
  • Lead system-level architecture exploration for AI inference and training accelerators, including memory hierarchy and interconnect design.
  • Drive cross-functional alignment to translate AI workloads into hardware specs.
  • Develop architectural models, performance simulators, and analytical frameworks.
  • Identify and resolve bottlenecks across the AI compute stack from NN operators to microarchitecture.
  • Set technical direction for AI hardware platform decisions and integration strategies.
  • 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 and systems disciplines.
  • Evaluate emerging AI workloads and compute paradigms to inform future investments.

Skills

AI compute systems
Hardware architecture
System performance modeling
Cross-functional leadership

Job description

Meta Reality Labs seeks a principal-level AI Systems Engineer to define the hardware architecture strategy for next-generation AI-accelerated computing powering virtual and augmented reality products. You will shape the long-term silicon and systems roadmap for on-device AI inference and training workloads across wearables, headsets, and spatial computing platforms.

You will drive architectural decisions spanning custom silicon, memory subsystems, interconnects, and software-hardware co-design,

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