Senior ML Engineer – Autonomous Driving (Mapless, AI-First)

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

This is not simulation-only research. Models are trained at scale and validated directly on real vehicles.

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

PhD is welcome but not required. Real-world deployment experience is highly valued.

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

Location: Germany (hybrid model available)