Edge AI Platform Engineer

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.