AI/ML Infrastructure Engineer

📋 Description Optimizing Core ML Pipelines for video analytics. Cross-Stack Collaboration with AI research and platform teams. Model acceleration with quantization, pruning, and layer fusion. Build efficient operators across PyTorch, CUDA, TensorRT, and DeepStream. Improve resource efficiency to reduce compute cost per video stream. Data management for visual data collection and labeling. 🎯 Requirements BS/MS or PhD in CS, EE, or related field. Strong programming in C/C++ and Python. Experience with model optimization, quantization, and pruning. Deep understanding of GPU performance and memory hierarchy. Experience with profiling/benchmarking tools (Nsight Systems, Nsight Compute). Experience resolving compute and data-flow bottlenecks.