CV Engineer

Overview

• Lead the development of advanced computer vision algorithms and systems, collaborating with cross-functional teams to design innovative solutions in visual perception and understanding.
• Play a pivotal role in architectural decisions, research initiatives, and mentoring junior team members, fostering a culture of excellence and innovation.
• Utilize expertise in image and video processing, deep learning, and real-time vision systems to drive impactful advancements in the field.
• Contribute to the development and optimization of algorithms for object detection, segmentation, tracking, and 3D reconstruction.
• Work with large-scale datasets to train and evaluate deep learning models using industry-standard frameworks.
• Integrate vision algorithms into production systems, ensuring optimal performance on edge or cloud platforms.
• Stay abreast of the latest advancements in computer vision, proposing innovative solutions to complex challenges.
• Collaborate with stakeholders to define technical requirements and contribute to strategic roadmaps.

Key Responsibilities & Duties

• Design and optimize algorithms for tasks such as object detection, segmentation, and 3D reconstruction.
• Train and evaluate deep learning models using frameworks like PyTorch and TensorFlow.
• Integrate and optimize vision algorithms for real-time performance on various platforms.
• Collaborate with researchers and engineers to implement cutting-edge research into scalable products.
• Conduct code reviews, mentor junior engineers, and promote best practices in engineering workflows.
• Engage with product managers to define technical requirements and project roadmaps.
• Stay updated with advancements in computer vision and propose innovative solutions.
• Contribute to the development of robust and efficient computer vision systems for diverse applications.

Job Requirements

• Master’s degree in Computer Science, Electrical Engineering, or related field; PhD preferred.
• 5+ years of hands-on experience in computer vision, image processing, or related areas.
• Proficiency in Python and C++ programming languages.
• Expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience with OpenCV, Open3D, DLib, and similar vision libraries.
• Knowledge of camera calibration, stereo vision, SLAM, and related techniques.
• Familiarity with GPU programming, CUDA, and TensorRT is advantageous.
• Published work in top-tier CV/ML conferences is highly desirable.