CUDA/GPU Compatibility Fix Needed

I have an existing PyTorch-based autonomous driving evaluation pipeline that runs in the CARLA simulator. It's currently failing on newer NVIDIA GPU hardware due to CUDA/driver/dependency compatibility issues. I need someone to: Get the pipeline running cleanly on the target GPU environment (debugging CUDA/driver/dependency conflicts) Run evaluation and confirm standard output metrics are generated correctly Deliver clean, runnable source code with basic documentation and a demo of it working Requirements: Strong PyTorch experience Experience with CARLA simulator or similar simulation environments Comfortable debugging CUDA/driver/dependency issues, ideally with newer GPU hardware Access to a compatible GPU environment (local or cloud) Please tell me: Your experience with CARLA and/or autonomous driving models Your experience with CUDA/GPU compatibility debugging Estimated timeline Your quote

Project ID: 40552791