Private Medical & Dental care & Life Insurance covered.Internal Mobility program - possibility of rotation between projects, locations, accounts.Project DescriptionHands‑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.ResponsibilitiesDesign 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.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 SkillsBachelor'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 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 SkillsExperience 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.#J-18808-Ljbffr