Luxolis, a cutting-edge 3D digital twin company, is seeking a talented and experienced SLAM Engineer to join their team. As a SLAM Engineer, you will be responsible for developing and optimizing SLAM algorithms that enable accurate localization and mapping in dynamic environments. This role requires proficiency in ROS, computer vision, C++, and Python.

In this role you can expect to have the responsibilities:

• Develop and implement advanced SLAM algorithms for real-time localization and mapping
• Integrate SLAM algorithms into robotic platforms using the ROS framework
• Utilize computer vision techniques to enhance sensor data processing and object recognition for improved SLAM performance
• Design and optimize algorithms for 2D and 3D SLAM considering various sensors
• Develop sensor fusion methods to combine data from multiple sensors
• Improve computational efficiency and resource utilization of SLAM algorithms
• Conduct extensive testing and validation of SLAM algorithms
• Maintain clear documentation for SLAM algorithms and processes
• Collaborate with multidisciplinary teams to integrate SLAM solutions into autonomous systems

This role requires you to have:

• SLAM algorithm development
• ROS integration
• Computer vision
• Localization and mapping
• Data fusion
• Performance optimization
• Testing and validation
• Documentation
• Collaboration

You would benefit from having:

• GPU programming and parallel computing (CUDA)
• Machine learning and deep learning techniques for robotics

Luxolis values innovation, creativity, and collaboration and fosters a supportive and inclusive work environment. They are seeking motivated SLAM Engineers to join their dynamic team and contribute to shaping the future of robotics.