Descripción de la oferta
Project Description: Technical professional 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. - 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. Mandatory Skills Description: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. - 7-10+ years of experience in computer vision/image processing. - Proven experience shipping at least one consumer product with embedded vision/AI. - Strong C++ expertise (C++14/17/20), including performance optimization. - Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX). - Experience deploying ML models on embedded/edge devices. - Experience with model optimization (quantization, pruning). - Strong understanding of 2D/3D geometry and linear algebra. - Experience working on embedded Linux or Android systems. - Strong debugging and performance profiling skills. - Experience optimizing for power and thermal constraints. Nice-to-Have Skills Description: - Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.). - Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD. - Experience with camera calibration and ISP interaction. - Experience building for Android Camera HAL or Yocto-based systems. - Experience with AR, computational photography, or video processing. - Experience with multi-camera systems. - Exposure to production validation and manufacturing constraints. Languages: English: B2 Upper Intermediate
