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Computer Vision Engineer

XpertDirect

Hybrid🇳🇱Eindhoven, NB, NetherlandsmidPosted 16d ago

Job description

Computer Vision Engineer

Eindhoven, Netherlands — Hybrid

Robotics | Advanced Manufacturing | Computer Vision | Industrial AI | Machine Perception

Our client, a growing Robotics and Advanced Manufacturing company based in Eindhoven, is looking for a Computer Vision Engineer to develop production vision systems for visual inspection, object detection, and machine perception.

You'll work across deep learning, image processing, model development, and production deployment

, turning camera and sensor data into reliable capabilities for real industrial environments.

What You'll Work On

• Develop computer-vision models using Python and PyTorch

• Build object detection, classification, and segmentation solutions

• Develop automated visual inspection and quality-control systems

• Process and analyse image and video data using OpenCV

• Train, evaluate, and optimise deep-learning models

• Build perception capabilities for robotic and automated systems

• Develop performance-critical components in C++

• Optimise models for NVIDIA GPU environments

• Build data preparation, augmentation, and training pipelines

• Evaluate model accuracy, robustness, and real-world performance

• Integrate vision models with production software and industrial systems

• Collaborate with Robotics, Software, and Automation Engineers to deploy vision capabilities into real-world environments

Core Skills

• 3+ years in Computer Vision, Machine Learning, Robotics, or a similar engineering role

• Python

• C++

• PyTorch

• OpenCV

• Deep learning for computer vision

• Object detection, classification, and/or segmentation

• NVIDIA GPU environments

• Experience taking computer-vision models beyond experimentation

Nice to Have

CUDA

TensorRT

ONNX

YOLO / Detectron2

Image segmentation

Multi-camera systems

3D vision / depth cameras

ROS / ROS2

Sensor fusion

Edge AI deployment

Industrial cameras and imaging systems

Experience with automated inspection, robotics, or manufacturing environments