Summary
✨ AI‑Generated
Join a high-growth physical AI team as a field-focused engineer responsible for taking computer vision systems into real industrial environments. You will work directly at customer sites, build data pipelines, configure edge hardware, deploy models, solve issues such as lighting and calibration, and turn field experience into production-grade improvements.
Highlights
Own the transition of computer vision solutions from proof of concept to real-world production, work directly with strategic customers, solve challenging deployment constraints, and influence product and engineering through field insights.
Description
Forward Deployed Engineer | Physical AI / Computer Vision
We're partnering with a well-capitalized, high-growth physical AI company serving some of the world's largest manufacturing, logistics, and industrial companies to find Forward Deployed Engineers to join their field team.
This is a 0-to-1 role: you'll embed directly with strategic customers, taking validated computer vision proof-of-concepts to production on the factory floor.
You'll own the messy realities of real-world deployment - lighting variability, camera calibration, model drift, edge hardware constraints - and be the bridge between what customers say they need and what they actually need.
What you'll do
Embed on-site with customers (25-50% travel) to drive the critical POC-to-production phaseBuild data pipelines, configure edge devices, and deploy CV models in real physical environments (factories, warehouses, construction sites)Feed field insights back to Product and EngineeringWrite production-grade Python and handle systems-level work (Docker, Kubernetes, networking, Linux)Document deployment architectures and runbooks, then hand off to Implementation Engineers
What we're looking for
1-8 years in forward deployed, field, solutions architect, or customer-facing software engineering rolesTrack record owning a technical deployment end-to-end - from 0-to-1 build through adoption and post-deployment maintenanceStrong Python proficiency and systems-level experienceAutomation, mechanical, or industrial engineering background with strong software skills is a plusBS in CS, Engineering, or related technical fieldComfortable communicating and building trust with executives, engineers, and floor operatorsBackground in manufacturing, logistics, automotive, or robotics (nice to have), familiarity with MLOps/CV tooling (nice to have)Midwest location (Chicago, Indianapolis) strongly preferred
Compensation & benefits
$144K-$200K base ($180K-$250K OTE, uncapped variable) plus equity, strong health benefits, travel and productivity stipends, and remote-first flexibility with relocation support.
