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Forward Deployed Physical AI Engineer Location: United States - field-based | Travel: ~80% Full-time | Overview.ai http://Overview.ai THE OPPORTUNITY Overview.ai http://Overview.ai builds physical AI systems, computer vision and machine learning deployed directly into production lines, wired into the same PLCs and equipment that run the factory. We're not a software vendor bolting a dashboard onto someone else's line. Our systems see, decide, and act inside real manufacturing processes, running today in production at companies like Tesla, SpaceX, and Amphenol. We're hiring a Forward Deployed Physical AI Engineer to be the person who takes a system from "this could work here" to "this is running production, unattended, at spec" - inside some of the most demanding manufacturing environments in the country. This is not a support role. You will design the imaging, AI, and integration approach for each deployment, own the technical relationship with the customer's engineering team, and carry the outcome from first site visit through steady-state production. WHY THIS ROLE MATTERS Physical AI only works if it survives contact with a real factory: vibration, inconsistent lighting, legacy PLCs, production schedules that never stop for you. That's the hard part, and it's the part most AI companies get wrong because they never put engineers on the floor. You will be that engineer. What you learn on-site, where the models break, where the optics fail, where the PLC integration gets fragile, feeds directly back into what we build next. You're not just deploying the product; you're one of the primary sources of ground truth for what physical AI needs to become. WHAT YOU'LL OWN - Solution design. Diagnose the customer's actual manufacturing problem, then design the camera, lighting, and AI configuration to solve it, not just install a preset. - Systems integration. Integrate Overview.ai http://Overview.ai systems with customer PLCs (Allen-Bradley, Siemens, and others), mapping I/O, configuring communication protocols (EtherNet/IP, PROFINET), and validating connectivity without disrupting existing controls. - Production validation. Take systems from bench-tested to production-proven under real constraints: line speed, part variation, vibration, lighting drift. - The customer relationship. Be the primary technical contact for plant engineers, controls teams, and often plant leadership, from first discovery call through live production and beyond. - Product feedback. Bring field reality back to our product and engineering teams — what breaks, what's missing, what the next version needs to handle. WHAT MAKES THIS ROLE DIFFERENT This role gets confused with field service or applications engineering. It isn't either. Field service follows a checklist. This role designs the solution. Applications engineering typically supports a pre-sold, pre-specified product. Here, you're often the first engineer figuring out what the right solution even is for a given line, and your judgment calls become the deployment. You'll work with production hardware, real electrical and controls problems, and AI systems simultaneously, in environments where "it works in the lab" means nothing until it works on the line. You'll also see more manufacturing environments, PLC architectures, and production challenges in a year than most controls or automation engineers see in five: because you're not embedded in one plant, you're moving between many. WHAT WE'RE LOOKING FOR Strong candidates tend to show up in one or more of these forms: - You've integrated hardware or systems into something that already existed and worked a production line, a robotics platform, a competition vehicle, without breaking what was there. - You've gone deeper than your job required: debugged something nobody assigned you, built a side project involving sensors/controls/automation, or led a robotics, FSAE, or similar technical team. - You're comfortable b