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