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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

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

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

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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.