Karlsruhe On-siteFull-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 estimationDesigning and scaling auto-labelling pipelines to reduce manual annotation costs and increase dataset diversityImplementing robust tracking-by-detection algorithms in 3D spaceTraining 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 PythonCollaborative mindset and strong problem-solving ability
Nice to have:Experience with TensorRT, LibTorch, or ONNX for optimised deploymentBackground 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.