Edge-First Computer Vision Engineer (0-to-1 Deployments)

Roboflow, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Travel stipend

Productivity stipend

AI tools stipend

Team lunch

Home office stipend

Equity

Job summary

Roboflow, Inc. is seeking Forward Deployed Engineers to deploy customers’ computer vision workflows in production. You’ll translate proofs-of-concept into real deployments, handling data pipelines, edge devices, and reliable production code alongside customer teams.

You’ll embed with customers, working on-site in Singapore, and help shape our deployment playbooks while collaborating with Product and Engineering to improve the Roboflow platform.

Qualifications

• Experience deploying technology in physical-world environments.
• Proficient in Python; systems-level work with Docker and Kubernetes.
• Hands-on production ML/vision deployment experience.
• Experience with edge computing hardware and constrained environments.
• Strong troubleshooting and communication skills.

Responsibilities

• 0-to-1 deployment: build first production deployment.
• Edge-first engineering on hardware in physical environments.
• Embed with customers during initial deployment (4–12 weeks).
• Produce production-grade code for customer environments.
• Surface customer insights to Product and Engineering teams.
• Shape deployment playbooks with repeatable patterns.

Skills

Python

Docker

Kubernetes

Edge devices

Production ML

MLops tooling

Interpersonal skills

Tools

NVIDIA Jetson

Industrial cameras

Linux

Networking

Job description

Roboflow, Inc. is seeking Forward Deployed Engineers to deploy customers’ computer vision workflows in production. You’ll translate proofs-of-concept into real deployments, handling data pipelines, edge devices, and reliable production code alongside customer teams.

You’ll embed with customers, working on-site in Singapore, and help shape our deployment playbooks while collaborating with Product and Engineering to improve the Roboflow platform.