
Advanced Vision Engineer
4 days ago
Our team is seeking a skilled Senior Vision Engineer
This role requires a strong foundation in computer vision, deep learning, and embedded AI.
- Develop Advanced Vision Algorithms: Design, implement, and optimize 3D vision, image classification, segmentation, and feature extraction algorithms.
- Neural Network Development: Architect and train CNNs and custom deep learning models using PyTorch, TensorFlow, or ONNX for real-time applications.
- Embedded AI & Edge Optimization: Optimize and port vision models to embedded platforms (ARM, GPU, TPU, or custom accelerators) for high-performance, low-latency inference.
- Camera Calibration & 3D Vision: Develop and enhance multi-camera calibration, stereo vision, and 3D reconstruction techniques.
- Software Architecture & API Design: Design scalable computer vision pipelines and APIs for seamless integration with our product ecosystem.
- Performance Optimization: Apply quantization, pruning, and model compression techniques to enhance real-time inference efficiency on resource-constrained hardware.
Required Skills:
- Expertise in Computer Vision & Image Processing: A Master's or Ph.D. in Computer Science, AI, Robotics, or a related field.
- Deep Learning Frameworks: Hands-on experience with PyTorch, TensorFlow, OpenCV, and model compression techniques.
- Embedded Deployment: Experience optimizing and deploying deep learning models on ARM, GPU, TPU, or custom edge AI hardware.
- Programming & Software Development: Strong proficiency in C/C++ with some Python, and experience in software architecture and API design.
Benefits:
- High-Impact Projects: Work on cutting-edge, real-time AI-driven vision systems that push the boundaries of sports analytics.
- Fast-Growing Team: Join a dynamic, innovation-driven team to shape the future of sports technology.
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