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
