The mission of SafeAD is to solve the scalability problem of autonomous driving. We believe the key to achieving this is 3D camera based scene understanding that enables mapless autonomous driving everywhere.
In this role, you’ll:
• Implement algorithms for large scale visual SLAM and 3D scene reconstruction
• Develop tools for manual and automatic creation of HD maps to train and test our ML models
• Build a data engine for continuous learning
At a minimum we’d like you to have:
• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience in computer vision
• Strong experience programming in C++ and Python
• A strong team player and learning mindset
It’s preferred if you have:
• Hands-on experience in the fields of autonomous driving
• Experience in visual SLAM, sensor calibration, SfM, MVS, point cloud processing and optimization
• Have worked in mid to large software projects
What we’ll offer you:
• The chance to work on state-of-the-art computer vision for autonomous driving
• A working place characterized by a flat hierarchy, quick processes and full focus on state-of-the-art technology
• Flexible working hours
• A competitive salary
If you share our vision and want to be part of it, then please submit your application using the button below.
Thank you very much. We are looking forward to your application!