Computer Vision Engineer - AI

Key Responsibilities Model Development: Design and implement computer vision algorithms for object detection, tracking, segmentation, and localization. Framework Expertise: Utilize YOLO (v4/v5/v8) for real-time object detection tasks, leveraging its efficiency and accuracy. Image Processing: Employ OpenCV for image preprocessing, feature extraction, and enhancement to support downstream tasks. Perception Systems: Develop perception pipelines integrating camera, LiDAR, and radar data for autonomous systems. Optimization: Optimize models for performance on edge devices, ensuring real-time processing capabilities. Collaboration: Work closely with cross-functional teams to integrate computer vision solutions into products and services.zettlor.com+1karkidi.com+1arxiv.org+1arxiv.org+1 Required Skills & Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of experience in computer vision and perception system development. Technical Skills: Proficiency in Python and C++ programming languages. Hands-on experience with YOLO architectures (v4/v5/v8). Strong command of OpenCV for image processing tasks. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with sensor fusion techniques and multi-sensor data integration. Tools & Platforms: Experience with simulation environments like ROS (Robot Operating System). Familiarity with GPU programming and optimization using CUDA. Knowledge of version control systems like Git. Soft Skills: Strong problem-solving abilities and analytical thinking. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment.karkidi.com Desired Skills Experience with autonomous vehicle perception systems. Knowledge of advanced object detection techniques beyond YOLO. Familiarity with edge computing platforms (e.g., NVIDIA Jetson). Publications or contributions to open-source computer vision projects. Job Types: Full-time, Permanent Schedule: Day shift Experience: Computer vision: 1 year (Required) Work Location: In person