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Field Application Controls Engineer installing AI vision systems on production lines and integrating them with existing PLCs (Allen Bradley, Siemens, GE, Beckhoff). The role covers on-site troubleshooting of hardware, electrical, and I/O issues, plus customer training and deployment support. Travel is 60–80% to customer plants.
We're building AI-powered quality control systems for manufacturing. Unlike generic machine vision, our systems are designed to integrate directly into production lines alongside existing PLCs and equipment. We work with companies like Tesla, SpaceX, and Amphenol, and we're deployed in real production environments right now, not pilots.
Our customers don't need another software tool. They need systems that actually work on their production line, integrate with their controls, and keep running under real manufacturing constraints.
You'll be the technical person making our systems work on the factory floor. This is hands-on field work: you'll install hardware, integrate with PLC systems, troubleshoot in real-time, and ensure vision systems are running reliably on production lines.
You'll own the technical execution from start to finish—from configuration through production validation. You'll work directly with customers, their maintenance teams, and their production engineers to get systems live and keep them running.
Key reality: This is 60–80% travel to manufacturing facilities. You'll spend weeks on-site at customer plants, working with equipment that doesn't stop, dealing with downtime pressure, and solving problems under real constraints.
Preferred location: Southeastern U.S., particularly Georgia, North Carolina, South Carolina, Alabama, or Tennessee.
Travel: 60–80% of time on-site at customer facilities across the US. Expect 1–2 week deployments, with some trips being shorter (3–5 days).
Compensation: $130K - $190K
