Innovation Computer vision Engineer

As a Computer Vision Engineer, you will play a key role in designing, developing, and deploying cutting-edge vision-based solutions for our steel manufacturing processes. You will work on a mix of research, prototyping, and production-ready implementations, ensuring our vision systems improve process efficiency, quality control, and workplace safety.

Responsibilities

Your daily responsibilities will include:

Hardware & System Design

• Contribute to the discovery phase of new initiatives by defining camera and optical system requirements.
• Select the appropriate compute platform for each application, whether it's a GPU server, edge AI device, embedded system, or cloud infrastructure.

Algorithm Development & Optimization

• Design, develop, and implement state-of-the-art computer vision algorithms using open-source frameworks.
• Maintain, fine-tune, and extend existing computer vision systems.
• Optimize high-speed vision pipelines for real-time processing and identify performance bottlenecks.
• Develop algorithms for Vision-Guided Robotics (VGR), enabling real-time interaction between visual perception and robotic control systems
• Perform hand-eye calibration and coordinate transformations to ensure precise alignment between the camera system and the robot's coordinate frame.

Innovation & Research

• Benchmark and evaluate third-party algorithms (both commercial and academic) to assess their applicability.
• Stay up to date with emerging technologies in deep learning, 3D vision, and industrial automation.
• Implement novel techniques from the ground up and advocate for their adoption across our global sites.

Deployment & Industrialization

• Work with automation engineers and IT teams to deploy and maintain scalable solutions.
• Ensure vision systems integrate smoothly with existing manufacturing infrastructure.

• Master's degree in Computer Science, Computer Engineering, Robotics, Physics, or a related field.
• Experience creating innovative computer vision solutions

Technical Skills

• Strong background in image processing and computer vision (2D/3D classification, detection, segmentation, etc.).
• Hands-on experience with machine learning and deep learning, with expertise in frameworks such as TensorFlow or PyTorch.
• Proficiency in OpenCV and/or Open3D.
• Knowledge of real-time processing and model deployment optimization techniques.
• Strong programming skills in Python, with experience in C++/C#/R being a plus.
• Comfortable working in a Linux environment (CLI, scripting, system setup).
• Familiarity with 3D vision processing (point clouds, depth maps) applied to robotic path planning or object manipulation.
• Knowledge of deployment on Linux servers, cloud platforms, or embedded systems is a plus

Soft Skills & Work Approach

• Result-driven: you focus on fast prototyping and delivering value quickly.
• Strong problem-solving skills and a passion for innovation.
• Fluent in English (knowledge of Dutch/French is a plus for working with local teams).