Model Optimization Engineer

The Model Optimization Engineer will focus on extracting maximum throughput, minimizing latency, and reducing cost for large neural network training and inference workloads. The role spans low‑level kernel optimization to distributed system tuning, requiring deep expertise in GPU architecture, model parallelism, and performance measurement. Collaboration with product, design, engineering, and operations teams is essential to deliver data‑driven, production‑ready solutions.