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About the role
As a Computer Vision Engineer at Thingtrax, you will be part of a team dedicated to building an Agentic Manufacturing Operations platform that revolutionizes factory operations. By deploying AI-powered agents, including computer vision systems, on production lines, you will enable manufacturing operations to observe, reason, and act in real time. Your primary focus will be on designing, developing, and optimizing computer vision algorithms for real-time applications in manufacturing processes. Key Responsibilities: - Design, develop, and optimize computer vision algorithms for real-time applications in manufacturing processes. - Implement GPU-accelerated solutions using frameworks like CUDA and OpenCL for enhanced performance. - Collaborate with cross-functional teams to integrate vision systems with hardware and cloud services. - Conduct performance profiling, benchmarking, and implementation of optimizations for image processing tasks. - Research and apply the latest advancements in computer vision, image processing, and deep learning. - Support model training and deployment on edge devices and cloud environments. - Troubleshoot and debug hardware and software issues related to vision systems. - Maintain comprehensive documentation of algorithms, architectures, and workflows. - Mentor junior engineers as needed and contribute to a collaborative team environment. - Participate in Agile development practices, including sprint planning and retrospectives. Qualifications Required: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related fields. - 3+ years of experience in computer vision and image processing, with a focus on real-time applications. - Proficient in programming languages such as Python and C/C++; experience with embedded programming is a plus. - Strong expertise in GPU programming using CUDA and/or OpenCL. - Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. - Solid understanding of key computer vision techniques including image segmentation, object detection, and tracking. - Familiarity with edge computing and deployment frameworks for AI models. - Experience with version control systems, particularly Git. - Strong analytical skills and problem-solving abilities, with attention to detail. - Excellent communication skills for collaboration within a team environment. - Knowledge of industrial automation and IoT systems is a plus. If you join Thingtrax, you will be part of a global R&D center with a state-of-the-art applied AI laboratory equipped with cutting-edge technology. Additionally, you will have access to benefits such as Private Health Insurance, Paid Time Off, and opportunities for Training & Development. As a Computer Vision Engineer at Thingtrax, you will be part of a team dedicated to building an Agentic Manufacturing Operations platform that revolutionizes factory operations. By deploying AI-powered agents, including computer vision systems, on production lines, you will enable manufacturing operations to observe, reason, and act in real time. Your primary focus will be on designing, developing, and optimizing computer vision algorithms for real-time applications in manufacturing processes. Key Responsibilities: - Design, develop, and optimize computer vision algorithms for real-time applications in manufacturing processes. - Implement GPU-accelerated solutions using frameworks like CUDA and OpenCL for enhanced performance. - Collaborate with cross-functional teams to integrate vision systems with hardware and cloud services. - Conduct performance profiling, benchmarking, and implementation of optimizations for image processing tasks. - Research and apply the latest advancements in computer vision, image processing, and deep learning. - Support model training and deployment on edge devices and cloud environments. - Troubleshoot and debug hardware and software issues related to vision systems. - Maintain comprehensive documentation of algorithms, architectures, and workflows. - Mentor junior engineers as needed and contribute to a collaborative team environment. - Participate in Agile development practices, including sprint planning and retrospectives. Qualifications Required: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related fields. - 3+ years of experience in computer vision and image processing, with a focus on real-time applications. - Proficient in programming languages such as Python and C/C++; experience with embedded programming is a plus. - Strong expertise in GPU programming using CUDA and/or OpenCL. - Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. - Solid understanding of key computer vision techniques including image segmentation, object detection, and tracking. - Familiarity with edge computing and deployment frameworks for AI models. - Experience with version control systems, particularly Git. - Strong analytical skills and problem-so