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.
* 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:
* Bachelors or Masters 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:
* 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