Computer Vision Engineer 1-3 yrs

Key Responsibilities

● Design, develop, and implement perception algorithms for various applications, including object detection, tracking, classification, and scene understanding. ● Work extensively with video and image processing techniques, including: ● Image Processing: Noise reduction, feature extraction, image segmentation, image enhancement, color space manipulation, geometric transformations.

● Video Stabilization: Real-time video stabilization techniques for noisy or shaky camera inputs. ● Motion Estimation: Developing techniques to estimate the motion of objects or the camera. ● Develop and integrate perception pipelines using NVIDIA Deep. Stream and GStreamer for high-performance, real-time processing. ● Optimize perception algorithms for deployment on edge computing platforms such as Jetson, considering constraints such as power, memory, and computational resources.

● Collaborate closely with hardware engineers, and software engineers to integrate perception solutions into larger systems. ● Stay up-to-date with the latest advancements in computer vision, deep learning, and robotics perception. Skills and Requirements ● Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field.

● Approximately 1-2.5 years of professional experience in Computer Vision domain. ● Strong proficiency in C++ and Python. ● Hands-on experience with NVIDIA Deep. Stream SDK for building real time streaming applications. ● Demonstrable experience with GStreamer for multimedia pipeline development. ● Extensive experience with image processing techniques (e.

g., OpenCV). ● Strong understanding and practical application of video stabilization algorithms. ● Experience with object detection, tracking, and classification. ● Familiarity with various computer vision algorithms and their applications. ● Experience in solving AI-related problems, particularly in the context of computer vision and real-time inference.

● Practical experience in optimizing and deploying models on edge computing devices.