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