Edge AI Platform Engineer
About this role
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.
Company at a glance
We are a 100% domestic owned and operated premium domestic solar panel manufacturing company, building one of the most technically advanced assembly facilities in North America.
Reshoring manufacturing and bolstering domestic energy security is mission critical. Together, can create a cleaner, more sustainable world for future generations. Connect with us to learn more about our domestic product offerings, partnerships, and career opportunities.
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