Build the platform that runs SEVN — the software infrastructure that deploys, monitors, and scales vision models across the fleet of edge nodes on the line. What you'll do • Build and operate the platform that provisions, deploys, and updates vision models across every station's edge node. • Own fleet management — device health, model versioning, safe rollouts, and over-the-air updates. • Build the data platform: pipelines from cameras and machines to storage, turning frames into traceable defect records. • Instrument observability — latency, accuracy, uptime, and drift monitoring across the network. • Containerize and orchestrate edge workloads for 24/7 reliability at scale. • Partner with CV/ML, controls, and quality to integrate inference into daily operations. What you bring • BS / MS in Computer Science, EE, or related — or equivalent experience. • 3+ years in platform, ML infrastructure, or backend / distributed systems. • Experience with containers and orchestration (Docker, Kubernetes, or edge device management). • Strong Python (and/or Go); data pipelines and cloud / edge deployment. • Familiarity with edge hardware (e.g. NVIDIA Jetson) and real-time systems a plus. • Comfortable working across software and the production floor. • Bilingual English / Spanish a plus.