Vision Architect, RL Silicon

Job Title

Vision Architect, RL Silicon

Role Summary

Define long-term architectural direction for vision and imaging processing subsystems in custom SoCs for wearable devices. Lead cross-functional alignment across silicon design, software, research, and product teams to translate vision workloads into multi-generation silicon roadmaps.

Experience Level

Senior - requires 12+ years of experience in silicon architecture, algorithm development, or hardware design focused on computer vision, imaging, or video processing subsystems.

Responsibilities

Accountable for architecture, specification, and cross-team coordination for vision and imaging subsystems across multiple silicon generations.

• Define and own multi-generation architecture for ISP pipelines, computer vision accelerators, and associated memory hierarchies within custom SoCs.
• Establish microarchitectural frameworks and design principles balancing performance, power, area, and programmability.
• Drive architectural exploration and feasibility studies for next-generation vision workloads, including real-time inference and video analytics on wearables.
• Develop and maintain architectural specifications, performance models, and design guidelines for RTL implementation and verification teams.
• Lead cross-functional architecture reviews through design, physical implementation, and post-silicon validation to preserve architectural intent.
• Define performance benchmarks and silicon KPIs; evaluate industry trends and third-party IP strategies to inform build-versus-buy decisions.
• Mentor architects and engineers and partner with post-silicon and systems teams to validate assumptions and iterate roadmaps.

Requirements

Concise list of must-have skills and desirable experience.

• Must-have: 12+ years of experience in silicon architecture, algorithm development, or hardware design focused on computer vision, imaging, or video processing subsystems.
• Experience developing cycle-accurate or transaction-level performance models for vision or imaging processing engines.
• Experience driving architecture definition across full silicon development cycles from concept through post-silicon validation for wearable applications.
• Experience collaborating with AI, computer vision, or machine learning teams to map algorithmic workloads onto custom silicon architectures.
• Nice-to-have: integration experience with neural-network accelerators or tensor pipelines; experience influencing multi-generation silicon roadmaps through written proposals and executive-level communication; software-hardware co-design experience; algorithm optimization for GPUs, DSPs, or custom ASICs.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

About the Company

Company: Meta Platforms

Headquarters: Menlo Park, California, United States

American technology company that develops social networking products (Facebook, Instagram, WhatsApp) and invests in virtual/augmented reality hardware and software through Reality Labs, focusing on connectivity, advertising, and immersive computing experiences.