Manager, Engineering - Hardware Acceleration (CUDA)

The Engineering Manager will lead Torc's Hardware Acceleration team, shaping the technical roadmap for model optimization and embedded ML inference on NVIDIA-based platforms while growing a high-performing engineering organization. This role balances deep technical oversight of inference pipelines and CUDA/TensorRT work with people leadership responsibilities including hiring, coaching, and setting team goals in a safety-critical automotive environment. The manager will collaborate cross-functionally to integrate optimized models into Torc's real-time autonomy platform.