Research Scientist (AI Model Optimization), IPV, ARTC

Responsibilities Lead research into state-of-the-art optimization techniques, including Quantization-Aware Training (QAT), Pruning, Knowledge Distillation, and Neural Architecture Search (NAS) to minimize latency. Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously. Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson,…