About the role
We are looking for a Forward Deployed Engineer with 1–8 years of experience to take computer vision deployments from proof-of-concept to production at some of the world's largest manufacturing, logistics, and industrial companies. You're a hands-on 0-to-1 builder who thrives in ambiguous, real-world environments — someone who can embed directly with customer teams, figure out why it works in staging but not on the factory floor, and ship production-grade systems that actually hold up. This is a career-defining role: Roboflow's goal is for "FDE at Roboflow" to carry the same resume weight as Palantir or FAANG.
What will you be doing?
- Embed directly with customers (on-site 25–50% of the time) to take validated POCs to first production deployment — the critical 0-to-1 phase
- Build and configure data pipelines, edge devices, and computer vision models in real-world physical environments (factories, warehouses, construction sites)
- Serve as Roboflow's eyes and ears in the field — surfacing the gap between what customers say they want vs. what they actually need, feeding insights back to Product and Engineering
- Write production-grade Python code and handle the messy realities of real-world CV: lighting variability, camera calibration, model drift, and edge hardware constraints
- Document deployment architectures, create runbooks, and hand off to Implementation Engineers once the customer is up and running independently
