Role overview
In this role, you’ll:
- Develop and refine models for online road topology extraction and lane connectivity prediction
- Design graph-based or transformer architectures to represent complex intersections without HD maps
- Predicting geometric and temporally consistency map elements
- Work on large ML models and big data with our ever growing in-house compute
- Test your software in our self-driving vehicle
We require you to have:
- MSc/PhD in Computer Science, Robotics or equivalent experience
- Experience with transformers and / or graph neural networks architectures
- Strong experience programming in C++ and Python
- A strong team player and learning mindset
It’s a plus 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
- Worked in mid to large software projects
What you'll work on
- Develop and refine models for online road topology extraction and lane connectivity prediction
- Design graph-based or transformer architectures to represent complex intersections without HD maps
- Predicting geometric and temporally consistency map elements
- Work on large ML models and big data with our ever growing in-house compute
- Test your software in our self-driving vehicle
We require you to have:
- MSc/PhD in Computer Science, Robotics or equivalent experience
- Experience with transformers and / or graph neural networks architectures
- Strong experience programming in C++ and Python
- A strong team player and learning mindset
It’s a plus 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
- Worked in mid to large software projects
Tags & focus areas
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