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Forward Deployed Engineer

Roboflow· Engineering
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Remote$180k - $250kFull-timePosted 4mo ago

About the role

Forward Deployed Engineer (FDE) for Roboflow, remote in US. Responsible for taking validated proof-of-concepts to production deployments at customer sites, embedding with customer teams, deploying computer vision workflows on Roboflow, and feeding field insights back to product and engineering.

Responsibilities

  • 0-to-1 Deployment: Take validated proof-of-concepts from the pre-sales process and build the first production deployment. This includes 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. Where conditions are unpredictable and connectivity is unreliable. This is hands-on, hardware-heavy work.
  • Embed with Customers: Work on-site or deeply embedded with the customer’s engineering team during the initial deployment phase (typically 4–12 weeks per engagement). Build trust, transfer knowledge, and establish the foundation for long-term success.
  • Production Engineering: Write production-grade code that will live in the customer’s environment. Handle the messy realities of real-world computer vision: lighting variability, camera calibration, model drift, network latency, and edge hardware constraints.
  • Be Our Eyes and Ears in the Field: Surface the gap between what the customer says they want and what they actually need, and feed feedback to Product and Engineering.
  • Knowledge Transfer & Handoff: Document deployment architecture, create runbooks, and train the customer’s team for independent operation; provide handoff to Roboflow’s Implementation Engineers for scaling.
  • De-risk New Deployments: Identify and resolve technical risks early and propose alternatives if needed.
  • Shape the Deployment Playbook: Codify repeatable deployment patterns, starter templates, and reusable artifacts.

Qualifications

  • Meaningful experience deploying technology in physical-world environments.
  • Strong proficiency in Python; systems-level experience (Docker, Kubernetes, networking, Linux).
  • Hands-on experience deploying machine learning or computer vision models to production.
  • Experience with edge computing hardware and constraints (NVIDIA Jetson, industrial cameras, limited connectivity, on-premise security).
  • Excellent troubleshooting and debugging skills.
  • Strong interpersonal skills to work with executives, engineers, and machine operators.
  • 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 deployments.

Skills

Required:PythonDockerEdge computing hardwareProduction ML/CV deploymentCustomer engagementTravel willingness
Nice to have:Kubernetes

Benefits

  • $4000/yr Travel Stipend to travel anywhere to work with Roboflowers
  • $350/mo Productivity stipend for home internet or co-working space
  • $350/mo AI Tools
  • $150/mo Team lunch
  • $500/one time Home office
  • Cover up to 100% of health insurance costs for you and your partner or family
  • 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

artificial-intelligencedeveloper-toolsmachine-learningcomputer-visionapi
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