AI Optimization and Deployment Engineer

This role involves leading research into advanced optimization techniques like Quantization-Aware Training and Neural Architecture Search to minimize latency in AI models. The engineer designs scalable deployment architectures for high-throughput data streams and collaborates on hardware-software co-design for specific targets like NVIDIA Jetson and FPGAs. The position requires establishing performance benchmarks and integrating optimized models into factory-level software stacks.