📍 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.