Role overview
In this role, you’ll:
- Improve core perception tasks: 3D Object Detection, Tracking, Segmentation, and Freespace estimation
- Build and scale Auto-labeling pipelines to reduce manual annotation costs and increase data diversity
- Implement robust tracking-by-detection algorithms in 3D space
- 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
What you'll work on
- Improve core perception tasks: 3D Object Detection, Tracking, Segmentation, and Freespace estimation
- Build and scale Auto-labeling pipelines to reduce manual annotation costs and increase data diversity
- Implement robust tracking-by-detection algorithms in 3D space
- 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
Tags & focus areas
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