[Hiring] Forward Deployed Engineer @Roboflow

Role Description

We’re hiring Forward Deployed Engineers (FDEs) to be the first technical hands on our new customer’s Roboflow deployments. After our Sales and Solutions Architecture team closes a deal and validates the technical approach, you step in to take it from proof-of-concept to production, the critical 0-to-1 phase where vision meets reality.

• You’ll embed directly with new Customers, working alongside their engineering and operations teams to build and deploy their first production computer vision workflows on Roboflow.
• The FDE role is more than just execution; you are also our eyes and ears in the field.
• Once you’ve proven the deployment works in production and the customer’s team is equipped to operate it, you hand off to our Implementation Engineers.
• Five years from now, FDE at Roboflow on a resume should mean what a few years at Palantir or a FAANG company means.

Role and Responsibilities

• 0-to-1 Deployment: Take validated proof-of-concepts from the pre-sales process and build the first production deployment.
• Edge-First Engineering: Deploy and operate computer vision systems on edge hardware in physical environments.
• Embed with Customers: Work on-site or deeply embedded with the customer’s engineering team during the initial deployment phase.
• Production Engineering: Write production-grade code that will live in the customer’s environment.
• Be Our Eyes and Ears in the Field: Surface the gap between what the customer says they want and what they actually need.
• Knowledge Transfer & Handoff: Document your deployment architecture, create runbooks, and train the customer’s team.
• De-risk New Deployments: Identify and resolve technical risks early.
• Shape the Deployment Playbook: Codify repeatable deployment patterns and reusable artifacts.

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.
• Experience with edge computing hardware and constraints.
• Excellent troubleshooting and debugging skills.
• Strong interpersonal skills.
• Experience in one or more of Roboflow’s target verticals: manufacturing, logistics, food processing, automotive, or retail.
• Willingness to travel ~40–50% for on-site customer deployments.

Preferred Attributes

• Experience in a professional services, deployment engineering, or forward deployed engineering role.
• Familiarity with CV/MLOps tooling and practices.
• Deep industrial subject matter expertise.
• Background in IoT, embedded systems, or infrastructure engineering.
• You're a tinkerer outside of work.

Benefits

• $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers.
• $350/mo Productivity stipend.
• $350/mo AI Tools.
• $150/mo Team lunch.
• $500/one time Home office.
• Cover up to 100% of your health insurance costs for you and your partner or family.
• Equity in the company.

Interview Process

• Introduction Phase: Meet with hiring manager to assess for overall mindset and skillset.
• Team Interview Phase: Technical Assessment - live coding or architecture session.
• Final Interview Stage: Meet with Head of Operations and CEO for culture discussion.

Equal Employment Opportunity

At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team.