Our mission at SafeAD is to bring autonomous driving to the masses. Therefore we develop a next-generation autonomous driving perception and scene understanding system:
It does not rely on expensive sensors or HD maps but follows a mapless, vision-first, all-AI philosophy.
Check out our latest LinkedIn post showcasing the live results of our system, including 3D perception, vectorized 3D map prediction, object tracking and prediction, traffic light recognition, and more:
//shorturl.At/tsKmL
In this role, you’ll:
* Improve and develop additional features of our multi-task scene understanding AI model
* Optimize and deploy the model to run on production hardware
* Streamline our training pipeline
* Test your software in our self-driving vehicle
At a minimum we’d like you to have:
* MSc/PhD in Computer Science, Robotics or equivalent experience
* 3+ years of relevant professional experience (PhD time counts)
* Experience solving problems using Machine Learning with PyTorch
* Strong experience programming in Python
* A strong team player and learning mindset
It’s preferred if you have:
* Hands-on experience in the fields of autonomous driving and computer vision
* Experience in applying machine learning to 3D scene understanding tasks
* Have worked in mid to large software projects
What we’ll offer you:
* The chance to work on state-of-the-art machine learning 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
* Stock option program
If you share our vision and want to be part of it, contact us at jobs@safead.de.
Please attach your résumé, transcripts, references, and any other information you find useful.