Owns the end-to-end vision and AI architecture for consumer devices. Defines scalable, power-efficient, and production-ready imaging and perception systems across product lines. Drives technical direction across sensor, ISP, CV, ML, and platform integration.

• Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).
• Translate product and UX requirements into scalable technical solutions.
• Define image quality strategy aligned with AI and user experience goals.
• Architect reusable, modular CV/ML frameworks across multiple product SKUs.
• Drive system-level trade-offs across performance, power, cost, and thermal limits.
• Define AI model lifecycle strategy from training to OTA deployment.
• Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).
• Define system KPIs: latency, FPS, power, memory, boot time, and robustness.
• Lead technology selection for inference engines, frameworks, and hardware platforms.
• Guide SoC bring-up and performance validation for vision pipelines.
• Establish coding standards, modularization strategy, and long-term maintainability.
• Identify technical risks early and define mitigation strategies.
• Collaborate with hardware, ISP, Android/Linux platform, and product teams.
• Mentor senior engineers and provide architectural governance.
• Contribute to long-term vision/AI roadmap across product generations.