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.
Languages:
* English: B2 Upper Intermediate