This is a full-stack ML systems role for a senior individual contributor and technical architect. You will be responsible for designing the complete ML ecosystem for our edge devices, from the cloud-native MLOps platform down to the bare-metal model optimization. 

This unique role blends three key domains: 

1. MLOps & Data: You will architect the entire data lifecycle, including our CI/CD pipelines, data-labeling loops, and on-device monitoring. 

1. Agentic & Edge AI: You will lead the design of autonomous agents that run on our edge devices, using domain knowledge in log analysis and computer vision. 

1. Systems & Hardware: You will be the hardware-aware expert, bridging our ML software with our silicon team to ensure our models are hyper-optimized for our custom NPU. 

You are the engineer who will not only build our ML platform but also design th...