Project Description: • Hands-on technical leader responsible for designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer devices. This role ensures real-time performance, power efficiency, and production robustness across embedded platforms. Responsibilities: • Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices. • Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance. • Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding. • Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning). • Implement performance-critical algorithms in modern C++ for embedded platforms. • Optimize for latency, power consumption, memory footprint, and thermal constraints. • Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs. •...