Principal ML Infra Engineer - GPU Inference & C++ Systems

A technology solutions provider in Dallas is seeking an AI Infrastructure Engineer with expertise in C++ and CUDA. The role involves designing and optimizing GPU-accelerated systems for deploying machine learning models in production. Ideal candidates will have a Master's or PhD, along with strong experience in GPU optimization and high-performance system design. Responsibilities include building inference pipelines, supporting model deployment, and working closely with ML researchers to ensure models are production-ready.