Vision Architect, RL Silicon Responsibilities Define and own the multi-generation architectural vision for computer vision and image processing subsystems within custom SoCs, including ISP pipelines, computer vision accelerators, and associated memory hierarchies • Establish microarchitectural frameworks and design principles for vision processing engines, balancing performance, power, area, and programmability tradeoffs • Drive architectural exploration and feasibility studies for next-generation vision workloads, including computer vision inference, video analytics, and real-time image processing on wearable devices • Develop and maintain architectural specifications, performance models, and design guidelines that serve as the foundation for RTL implementation and verification teams • Collaborate with AI research and software teams to characterize emerging vision workloads and translate computational requirements into silicon architecture decisions • Lead cross-functional architecture reviews spanning design, verification, physical implementation, and post-silicon validation to ensure architectural intent is preserved through the full development cycle • Define performance benchmarks and silicon KPIs for vision processing subsystems, driving alignment on success criteria across hardware and software stakeholders • Evaluate and influence industry trends, emerging standards, and third-party IP strategies relevant to vision and imaging silicon to inform build-versus-buy decisions • Mentor other architects and engineers across the silicon organization, establishing architectural best practices and review processes for vision subsystem development • Partner with post-silicon and systems teams to validate architectural assumptions, incorporate learnings into future roadmap decisions, and drive first-pass silicon success Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • 12+ years of experience in silicon architecture, algorithm development, or hardware design with a focus on computer vision, imaging, or video processing subsystems • Experience developing cycle-accurate or transaction-level performance models for vision or imaging processing engines • Experience in 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 Preferred Qualifications • Experience architecting computer vision and imaging processing subsystems for AI inference acceleration, including integration with neural network accelerators or tensor processing pipelines • Experience influencing multi-generation silicon roadmaps through written architectural proposals and executive-level technical communication • Experience with software-hardware co-design and developing models that interact with low-level system components • Experience with designing image processing or computer vision algorithms optimized for specialized hardware such as GPUs, DSPs, or custom ASICs