A well-funded European deep-tech company is building fully AI-driven, mapless autonomous driving technology in collaboration with leading OEMs and Tier 1 suppliers.
We are hiring experienced ML engineers who want to move beyond incremental ADAS and work on large-scale, AI-native autonomy systems deployed directly on vehicles.
What You’ll Work On
- Learning-based scene understanding from raw multimodal sensor data
- Online road topology & lane connectivity extraction
- Multimodal transformers / graph neural networks for dynamic traffic modeling
- End-to-end perception → prediction → planning architectures
- Ensuring geometric & temporal consistency in real-world driving
- Deployment of production-grade ML models to embedded vehicle systems
What We’re Looking For
- Strong ML fundamentals (deep learning, transformers, large-scale training)
- Solid Python skills; C for production integration
- Experience in one or more of:
- Autonomous driving
- Robotics
- 3D computer vision
- Multimodal learning
- Sensor fusion
- Learning-based planning
Why Join?
- Flat technical structure with real ownership
- Strong compute infrastructure
- Close collaboration with major automotive partners
- Equity / stock options
- Opportunity to shape next-generation autonomy from the ground up
