In this role, you’ll:

• Develop ML-based motion planners that navigate complex urban environments safely
• Lead experiments in End-to-End (E2E) driving and high-level maneuver planning
• Investigate the use of Foundation Models/VLA for interpretable decision-making and “reasoning” in edge cases
• Bridge the gap between perception outputs and control commands using probabilistic frameworks
• 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 sequence to sequence modelling with transformers and / or foundation models
• 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
• Background in Reinforcement Learning (RL), Imitation Learning, or Behavior Cloning
• Worked in mid to large software projects