Computer Vision Engineer

Computer Vision Engineer

Location: Lund, Sweden (Onsite)

About the Role

We are seeking an experienced Computer Vision Engineer to join an innovative engineering team in Lund, developing next-generation vision systems for advanced robotics and automation applications.

This is an excellent opportunity to work on cutting-edge computer vision technologies, developing and deploying AI-powered perception systems that operate in real-world environments. You'll collaborate closely with software, robotics, and hardware engineers to design robust vision solutions from data collection through to deployment on embedded edge devices.

Key Responsibilities

• Design, develop and optimise computer vision algorithms for real-world robotic and automation applications.
• Build and maintain data collection systems and scalable data pipelines for machine learning development.
• Develop, train and validate deep learning models for object detection, tracking, classification and recognition.
• Deploy and optimise AI models on embedded edge platforms, including NVIDIA Jetson devices.
• Work with 3D sensing technologies including LiDAR, depth cameras and event cameras.
• Process and analyse point cloud data for perception and localisation applications.
• Collaborate with cross-functional engineering teams to integrate vision systems into robotic platforms.
• Improve model accuracy, performance and reliability for production environments.
• Follow software engineering best practices including CI/CD, version control, unit testing and code reviews.

Required Skills & Experience

• Master's or PhD in Computer Science, Electrical Engineering, Robotics or a related discipline.
• Minimum 5 years' industry experience developing computer vision solutions for commercial applications.
• Strong programming skills in Python and C++.
• Experience with computer vision and deep learning frameworks such as OpenCV, TensorFlow and/or PyTorch.
• Experience training machine learning models using GPUs.
• Hands-on experience deploying models onto embedded platforms such as NVIDIA Jetson.
• Strong understanding of:
• Feature extraction
• Object detection
• Object tracking
• Image recognition
• Experience working with 3D sensors including LiDAR, depth cameras or event cameras.
• Knowledge of point cloud processing techniques.
• Familiarity with modern software development practices including Git, CI/CD pipelines and automated testing.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to work effectively in multidisciplinary teams.