ML Engineer
Nicholson SAS
About the role
Karlsruhe | On-site
Full-time
I am currently hiring on behalf of a high-growth deep tech company operating at the intersection of Physical AI and real-world perception systems.
This team is building large-scale machine learning systems that interpret complex 3D environments in real time. If you enjoy solving hard perception problems and working close to production systems, this could be a strong fit.
What you will be working on: • Improving core 3D perception tasks: object detection, tracking, segmentation, and freespace estimation • Designing and scaling auto-labelling pipelines to reduce manual annotation costs and increase dataset diversity • Implementing robust tracking-by-detection algorithms in 3D space • Training and optimising large ML models using substantial in-house compute infrastructure
Requirements: • MSc or PhD in Computer Science, Robotics, or a related discipline (or equivalent industry experience) • Strong deep learning experience in at least one sensor modality (Camera, LiDAR, or Radar) • Experience with modern architectures (transformer-based models preferred) • Strong programming skills in C++ and Python • Collaborative mindset and strong problem-solving ability
Nice to have: • Experience with TensorRT, LibTorch, or ONNX for optimised deployment • Background working on mid-to-large-scale production software systems
This is an opportunity to join a highly technical team solving complex real-world perception challenges with meaningful compute resources and long-term product vision.
Salary: EUR 48000 - 84000 per year
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