Machine Learning Engineer - Sensor Fusion & Core AI

Machine Learning Engineer - Sensor Fusion & Core AI

SafeAD

Karlsruhe, Germany

In this role, you’ll:

• Advance our Fusion Strategy (Early/Middle/Late) to ensure robust performance in adverse weather and lighting;
• Update and scale our multi-task backbones (e.g., Vision Transformers) to handle 360-degree sensor suites;
• Reduce latency by optimizing core AI bottlenecks for production-grade SoC hardware;
• 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 deep learning in at least one sensor modality (camera/LiDAR/RADAR), ideally using transformer based 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;
• Knowledge of TensorRT, LibTorch, or ONNX for hardware-specific deployment;
• Worked in mid to large software projects.