Vision Systems Architect

Project Description: 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. Responsibilities: 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. Mandatory Skills Description: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD preferred).10-15+ years of experience in imaging/vision/perception systems.Proven experience architecting and shipping multiple consumer products with vision/AI.Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact).Strong embedded system architecture experience.Expert-level C++ and system-level optimization knowledge.Strong expertise in CV and ML system integration.Experience deploying optimized ML models on consumer SoCs.Experience with heterogeneous compute architectures.Experience defining system-level KPIs and validation strategies.Strong cross-functional leadership and communication skills. Nice-to-Have Skills Description: Experience with computational photography pipelines.Experience in AR/VR or advanced camera features.Experience with silicon bring-up and HW/SW co-design.Experience with large-scale model deployment and OTA updates.Experience in multi-camera or depth-sensing systems.Contributions to patents or technical publications.Experience leading architecture across multiple product generations.