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Forward Deployed Engineer

Roboflow· Engineering
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Hybrid (US)$180k - $250k + equityFull-timePosted 4mo ago

About the role

Forward Deployed Engineer (FDE) for Roboflow. Remote (US). Full-time role focusing on taking validated proof-of-concepts to production deployments at customer sites, embedding with customer engineering teams, deploying edge-focused computer vision solutions, and feeding field insights back to product and engineering.

Responsibilities

  • 0-to-1 Deployment: Build the first production deployment from validated proof-of-concepts, including data pipeline setup, model optimization, edge device configuration, and integration with customer infrastructure.
  • Edge-First Engineering: Deploy and operate computer vision systems on edge hardware in physical environments with limited connectivity.
  • Embed with Customers: Work on-site or embedded with customer teams during initial deployment (typically 4–12 weeks).
  • Production Engineering: Write production-grade code in the customer environment, addressing real-world CV challenges (lighting, calibration, drift, latency, hardware constraints).
  • Be Our Eyes and Ears in the Field: Surface gaps between what customers want and what they need; provide feedback to Product/Engineering.
  • Knowledge Transfer & Handoff: Document deployment architecture, create runbooks, train customer teams, and hand off to Implementations Engineers for scaling.
  • De-risk New Deployments: Identify and resolve technical risks early or propose alternatives.
  • 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 Docker, Kubernetes, networking, Linux.
  • Hands-on experience deploying ML or computer vision models to production.
  • Experience with edge computing hardware (e.g., NVIDIA Jetson, industrial cameras).
  • Excellent troubleshooting and debugging skills.
  • Strong interpersonal skills to work with executives, engineers, and operators.
  • Experience in manufacturing, logistics, food processing, automotive, or retail verticals.
  • Willingness to travel ~40–50% for on-site deployments.

Skills

Required:PythonDockerEdge ComputingProduction ML/Computer VisionTroubleshootingCommunication & Stakeholder Management
Nice to have:Kubernetes

Benefits

  • $4000/yr Travel Stipend to travel and work with Roboflowers
  • $350/mo Productivity stipend (home internet, co-working)
  • $350/mo AI Tools
  • $150/mo Team lunch
  • $500 one-time Home office
  • Health insurance costs covered for you and your partner or family (up to 100%)
  • Equity in the company
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Roboflow

🖼️ Give your software the sense of sight.

Roboflow enables developers to make the world programmable. Use our tools to build better datasets (collect image, video / annotate), models (foundation and fine tuned small models), and deployments (self hosted, edge, APIs, SDKs) for computer vision. Over 250k developers, including those from over half the Fortune 100, build with our open source and hosted tools. Build with us: https://app.roboflow.com Hack with us: https://roboflow.slab.com/public/posts/roboflow-hackathons-external-u478m1iz Work with us: roboflow.com/careers

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