Lead Computer Vision Engineer

Job description

Job Summary
As our Lead Computer Vision Engineer, you'll architect and implement advanced vision systems that enable our robots to perceive, understand, and interact with physical environments. You'll work on cutting-edge challenges in quality inspection, defect detection, and visual-guided manipulation, directly impacting our product's core capabilities.

Key Responsibilities

• Design and optimize computer vision systems tailored for physical environments
• Develop the defect detection and localization algorithms for quality control
• Implement reinforcement learning based algorithm for surface quality correction system
• Implement and refine object detection, localisation, segmentation algorithms
• Build and maintain simulation environments for testing and validating vision systems
• Build train datasets and pipeline for vision model training
• Collaborate with cross-functional teams to integrate vision systems into robotic platforms

Qualifications and Skills

• Bachelor's/Master's (MS or PhD) in Computer Science, Computer Vision, AI, ML, or related field
• 5-10 years of experience in Computer Vision and AI
• Expertise in image processing, including distortion correction, color correction, and 2D to 3D vision
• Strong knowledge of deep learning frameworks like TensorFlow and PyTorch for computer vision
• Experience in object detection, segmentation, and surface inspection techniques preferred
• Experience with simulation tools such as NVIDIA Isaac Sim and AI Habitat
• Excellent programming skills in Python and other relevant languages

Why Join Us

• Join a dynamic startup and work directly with the founders to shape the future of AI & Robotics
• Be part of a mission to create intelligent robots that eliminate the need for human labour in harsh and unsafe environments
• Join a team that values open feedback, encourages wild ideas, and keeps hierarchy out of brainstorming
• Experience the thrill of building not just a product, but a company from the ground up