Senior AI Hardware Architect - On-Device AI for Wearables

Meta; Hartford (CT); Sur place; USD 260 000 - 319 000; Plein temps

Résumé du poste

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

You will lead cross-functional teams across silicon, firmware, software, and product to translate AI workloads into hardware specs, build architectural models and

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 and interconnect topology.
• Experience with hardware-software co-design methodologies for on-device AI workloads, including 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.

Responsabilités

• Define and own the multi-year architectural roadmap for AI compute subsystems across hardware product lines.
• Lead system-level architecture exploration for AI inference and training accelerators, including memory hierarchy design and interconnect topology.
• Drive cross-functional alignment to translate AI workload requirements into hardware specifications.
• 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, including custom silicon vs third-party IP evaluation.
• Partner with ML researchers to co-design hardware-software interfaces for efficiency on wearables.
• Represent hardware architecture in executive reviews and author architecture decision records.
• Mentor engineers across hardware architecture and systems engineering disciplines.
• Evaluate emerging AI workloads and compute paradigms to inform future platform investments.

Connaissances

AI Systems Engineering

Hardware architecture

SoC architecture

System performance modeling

Hardware-software co-design

Executive communication

Outils

Performance simulators

Memory hierarchy design

Description du poste

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

You will lead cross-functional teams across silicon, firmware, software, and product to translate AI workloads into hardware specs, build architectural models and