Forward Deployed Physical AI Engineer at Overview Corporation
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Jul 22, 2026
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Jul 24, 2026
What this job asks for AI summary
A field-based role focused on deploying computer vision and machine learning systems directly into manufacturing production lines. The engineer designs the camera, lighting, and AI configuration for each site, handles PLC integration (Allen-Bradley, Siemens, EtherNet/IP, PROFINET), and owns each deployment from initial site visit through steady-state production. Roughly 80% travel is required, and the role suits engineers with hands-on industrial controls and hardware integration experience.
Senior level · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (6)
This role is field-based across the United States with ~80% travel; there is no fixed metro location, so no CBSA is assigned.
The SOC classification is a judgment call. The role blends physical systems integration (PLC/controls/hardware) with AI/computer vision deployment — it is not purely software development, but the primary technical work (designing AI and imaging solutions, integrating systems, validating production deployments) aligns most closely with 15-1252 Software Developers. 15-1299 (Computer Occupations, All Other) is a reasonable runner-up given the heavy hardware/controls dimension.
No overall years-of-experience figure is stated in the posting; seniority is inferred from the scope of ownership described (solo end-to-end deployments, primary customer technical contact, independent operation in high-stakes environments).
PLC integration experience is listed under 'Must-haves' but the posting explicitly notes candidates do not need to be a PLC expert on day one — rather, they must already understand the fundamentals (how PLCs communicate, EtherNet/IP/PROFINET, device description files). Treated as a hard gate on foundational knowledge, not deep expertise.
Allen-Bradley and Siemens platform experience appears under 'Preferred', as does computer vision/imaging/optics experience and prior customer-facing technical roles.
Machine learning is part of the core product stack described throughout the posting but is not explicitly gated in the requirements sections; listed as preferred.
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