Forward Deployed Engineer

About the role

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.

Responsibilities

• Five years from now, FDE at Roboflow on a resume should mean what a few years at Palantir or a FAANG company means. That's the bar we're hiring against.
• Role and 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.
• Knowledge Transfer & Handoff: Document your deployment architecture, create runbooks, and train the customer's team so they can operate the system independently. Provide a clean handoff to Roboflow's Implementation Engineers for scaling and expansion.
• De-risk New Deployments: Identify and resolve technical risks early. If a customer's environment won't support the planned architecture, you find the alternative before it becomes a project failure.
• Shape the Deployment Playbook: Codify repeatable deployment patterns, starter templates, and reusable artifacts that make future deployments faster and more reliable.
• The Skillset You'll Bring
• Meaningful experience deploying technology i

Benefits

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