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Forward Deployed Engineer

RoboflowNY, SF or Remote (US) GTM
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Salary
$180K - $250K USD
Job type
Full-time
Work mode
Remote
Posted
18 May 2026
Status
Open · checked 7d ago

About this role

Role Overview

Roboflow is hiring a Forward Deployed Engineer to lead the 0-to-1 phase of new customer deployments, taking validated solutions from proof-of-concept into real-world production. This remote-friendly or hub-based position in San Francisco or New York suits a hands-on builder and technical explorer who thrives in high-autonomy environments and loves solving complex infrastructure challenges.

Key Responsibilities

Execute 0-to-1 deployments by taking pre-sales proof-of-concepts and building out initial production architectures, data pipelines, and edge hardware configurations.
Embed directly with customer engineering teams on-site or closely for 4 to 12 weeks to build trust, transfer knowledge, and de-risk new deployments.
Engineer production-grade code capable of running smoothly in unpredictable physical environments with lighting variability, camera calibration issues, and network latency.
Act as the eyes and ears in the field, feeding critical customer feedback back to Roboflow product and engineering teams to shape future platform updates.
Produce comprehensive deployment architecture documentation, runbooks, and team training before handing off projects to implementation engineers.
Shape the overall deployment playbook by codifying repeatable patterns, starter templates, and reusable artifacts.

Requirements

Meaningful professional background deploying technology into physical-world environments like factories, warehouses, construction sites, or labs.
Strong proficiency using Python alongside systems-level working knowledge including Docker, Kubernetes, Linux, and networking.
Hands-on experience successfully deploying machine learning or computer vision models into live production environments.
Practical familiarity with edge computing hardware constraints, industrial cameras, NVIDIA Jetson, and on-premise security requirements.
Excellent troubleshooting capabilities and superior interpersonal skills to navigate diverse technical and executive dynamics.
Willingness to travel approximately 40 to 50 percent of the time for on-site customer deployments.

Nice to Have

Background in professional services, deployment engineering, or forward-facing technical roles.
Familiarity with MLOps and computer vision tooling covering model versioning, monitoring, and retraining pipelines.
Deep industrial subject matter expertise spanning manufacturing, logistics, food processing, automotive, or retail verticals.
Previous experience working with IoT, embedded systems, or infrastructure engineering.
A passion for tinkering with hardware, smart home setups, or personal tech projects outside of work.

Skills and Tools

Python
Kubernetes
Docker
Computer Vision
MLOps
Edge Computing Hardware
Linux

Salary and Benefits

Target base compensation range of $180,000 to $250,000 per year, supplemented by equity compensation.
Comprehensive health insurance coverage paying up to 100 percent of costs for you and your family.
Annual travel stipend of $4,000 to visit and work alongside other team members.
Monthly productivity stipend of $350 for home internet or co-working space access.
Monthly AI tools stipend of $350 and a team lunch stipend of $150 monthly.
One-time home office setup stipend of $500.

About the Company

Roboflow simplifies building and using computer vision models, empowering over one million developers and half of the Fortune 100 to make the world programmable with artificial intelligence. Backed by prominent investors such as Y Innovator, Google Ventures, and Craft Ventures, the company operates with approximately 120 passionate builders distributed across the globe with hubs in New York City, San Francisco, and São Paulo.

How to Apply

Visit the official company careers page to submit your application and start your journey with Roboflow.

Skills and tech stack

PythonKubernetesDockerComputer VisionMLOps

Questions candidates ask

What is the salary range for the Forward Deployed Engineer role?

The target base salary ranges from $180,000 to $250,000 per year, with additional equity compensation included.

Is this position remote?

Yes, this role is remote within the US, with options to work from hubs in San Francisco or New York City, or from home.

How much travel is required for this position?

FDEs should expect to travel approximately 40 to 50 percent of the time for on-site customer deployment engagements.

What technical skills are required?

Candidates need strong proficiency in Python, experience with systems-level tools like Docker, Kubernetes, and Linux, and hands-on computer vision or machine learning production deployment experience.

What benefits and perks are offered?

Roboflow offers up to 100 percent health insurance coverage, a $4,000 yearly travel stipend, a $350 monthly productivity stipend, an AI tools stipend, team lunch subsidies, a home office setup stipend, and company equity.

Ready to apply?

The application is on the official Roboflow careers page.

Apply on company site