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Machine Learning Engineer - Sensor Fusion Core AI

SafeAD GmbH · Karlsruhe, BW, DE

Actively hiring Posted 5 months ago

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

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Ai Machine Learning Deep Learning Computer Vision Robotics
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