Senior AI Systems Architect - On-Device Compute

Meta; Madison (WI); On-site; USD 260,000 - 319,000; 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 AR/VR devices. You will shape silicon and system roadmaps for on‑device AI inference and training across wearables, headsets, and spatial platforms.

You will lead multi‑disciplinary teams, develop architectural models and simulators, evaluate bottlenecks, and drive decisions on custom silicon versus third‑party IP,

Qualifications

• 15+ years of experience in hardware systems architecture, with a focus on AI, ML, or high-performance compute systems.
• Experience defining SoC or system-level architecture for AI inference or training workloads, including memory subsystem design, compute hierarchy, and interconnect topology.
• Experience with hardware-software co-design methodologies 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.

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

Hardware systems architecture

Cross-functional collaboration

System performance modeling

Executive communication

Mentoring

Problem solving

Tools

ML compiler stacks

Performance simulators

System modeling tools

RTL handoff

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 AR/VR devices. You will shape silicon and system roadmaps for on‑device AI inference and training across wearables, headsets, and spatial platforms.

You will lead multi‑disciplinary teams, develop architectural models and simulators, evaluate bottlenecks, and drive decisions on custom silicon versus third‑party IP,