Remote Forward Deployed Engineer, Edge & CV Deployments

Userc Dehradun; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Travel stipend $4000/yr

Productivity stipend $350/mo

Home office $500 (one-time)

Health insurance coverage

Equity in the company

Job summary

Roboflow is hiring Forward Deployed Engineers (FDEs) to be the first technical hands on customer deployments. You will take proofs-of-concept into production, building data pipelines, configuring edge devices, and integrating with customer infrastructure.

You’ll embed with customer teams, deploying CV workflows in real-world environments. You’ll surface gaps between what is asked and what’s needed, feeding insights back to product and engineering to shape Roboflow’s platform and offerings.

Qualifications

• Meaningful experience deploying technology in physical-world environments.
• Strong proficiency in Python; experience with systems-level work (Docker, Kubernetes, networking, Linux) is highly valued.
• Hands-on experience deploying machine learning or computer vision models to production; you understand the gap between notebooks and pipelines.
• Experience with edge computing hardware and constraints (NVIDIA Jetson, industrial cameras, limited connectivity, on-premise security requirements).
• Willingness to travel ~40–50% for on-site customer deployments.

Responsibilities

• 0-to-1 Deployment: take validated proofs-of-concept to first production deployment, including data pipeline setup and edge device integration.
• Edge-First Engineering: deploy and operate CV systems on edge hardware in real environments.
• Embed with Customers: work on-site or embedded with the customer’s team during deployment (4–12 weeks per engagement).
• Production Engineering: write production-grade code in the customer environment; handle lighting, calibration, drift, latency, and hardware constraints.
• Be Our Eyes and Ears in the Field: provide feedback to Product and Engineering to shape future offerings.
• Knowledge Transfer & Handoff: document deployment architectures and train the customer’s team.
• De-risk New Deployments: identify and resolve risks early; find alternatives if needed.
• Shape the Deployment Playbook: codify repeatable patterns and templates.

Skills

Python

Docker

Kubernetes

Edge computing

Production ML/CV deployment

Troubleshooting

Cross-functional collaboration

Tools

NVIDIA Jetson

Linux

Networking

Industrial cameras

Job description

Roboflow is hiring Forward Deployed Engineers (FDEs) to be the first technical hands on customer deployments. You will take proofs-of-concept into production, building data pipelines, configuring edge devices, and integrating with customer infrastructure.

You’ll embed with customer teams, deploying CV workflows in real-world environments. You’ll surface gaps between what is asked and what’s needed, feeding insights back to product and engineering to shape Roboflow’s platform and offerings.