Senior Vision Systems Engineer

- 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. - 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. - Work closely with Android/Linux platform teams to integrate camera and AI pipelines. - Define and track KPIs: FPS, power usage, memory, startup time, and accuracy. - Profile and optimize performance across CPU/GPU/NPU/DSP. - Drive debugging of complex system-level issues in production builds. - Ensure robust unit testing and contribute to automated validation pipelines. - Mentor engineers and review architecture/design proposals. - Support product bring-up and mass production readiness.