Forward Deployed Engineer
Indexed 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 phase
- Build data pipelines, configure edge devices, and deploy CV models in real physical environments (factories, warehouses, construction sites)
- Feed field insights back to Product and Engineering
- Write 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 roles
- Track record owning a technical deployment end-to-end - from 0-to-1 build through adoption and post-deployment maintenance
- Strong Python proficiency and systems-level experience
- Automation, mechanical, or industrial engineering background with strong software skills is a plus
- BS in CS, Engineering, or related technical field
- Comfortable communicating and building trust with executives, engineers, and floor operators
- Background 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.
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