Roboflow
computer vision
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployed Engineer at Roboflow. Skills: 0-to-1 Deployment, Edge-First Engineering, Embed with Customers, Production Engineering, Be Our Eyes and Ears in the Field, Knowledge Transfer & Handoff, De-risk New Deployments, Shape the Deployment Playbook. Build the first production deployment of validated proof-of-concepts. Deploy and operate computer vision systems on edge hardware in physical environments”
Industry & Context.
Troubleshoot and debug; Identify and resolve technical risks early; Find alternative solutions when customer environments won't support planned architecture
Willingness to travel ~40–50% for on-site customer deployments, Work from home, Work at co-working spaces
What They're Looking For.
Must Have
Meaningful experience deploying technology in physical-world environments, systems-level work (Docker, Kubernetes, networking, Linux) is highly valued, Hands-on experience deploying machine learning or computer vision models, Experience with edge computing hardware and constraints (NVIDIA Jetson, industrial cameras, limited connectivity, on-premise security requirements), Excellent troubleshooting and debugging, 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
Nice to Have
Experience in a professional services, deployment engineering, or forward deployed engineering role, Familiarity with CV/MLOps tooling and practices (model versioning, monitoring, retraining pipelines), Deep industrial subject matter expertise, Background in IoT, embedded systems, or infrastructure engineering alongside hands-on deployment experience, You're a tinkerer outside of work. You own a 3D printer, you've got Raspberry Pis running something in your house, you're constantly tweaking your home network or smart home setup.
What You'll Do.
Build the first production deployment of validated proof-of-concepts
Deploy and operate computer vision systems on edge hardware in physical environments
Work on-site or deeply embedded with the customer’s engineering team
Write production-grade code
Handle real-world computer vision challenges
Surface customer needs and feedback to Product and Engineering teams
Document deployment architecture
Identify and resolve technical risks early
Codify repeatable deployment patterns
and reusable artifacts
How You'll Work.
Team & Collaboration
Partner directly with co-founder/CEO and Sales leadership; Work alongside customer's engineering and operations teams; Embed with customer teams; Transfer knowledge to customer teams; Provide a clean handoff to Roboflow’s Implementation Engineers; Work in person with other team members; Collaborate with other team members
Communication Scope
Build trust quickly; Talk to executives, engineers, and machine operators
Full Job Description
WHO WE ARE Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s computer vision AI open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We’re curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment. WHAT YOU’LL DO 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. This is the most difficult, important and rewarding phase of the customer journey. Infrastructure is unfamiliar, data pipelines need to be built, edge devices need to be configured, and models need to perform in real-world conditions, not just in a demo or a lab. The FDE role is more than just execution, you are al
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