Roboflow — Forward Deployed Engineer

United States·Chicagomid

OtherForward Deployed Engineer

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Quick Summary

Key Responsibilities

lighting, camera calibration, model drift, and edge hardware limits. Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Technical Tools

OtherForward Deployed Engineer

Responsibilities

~1 min read

→Embed with customers on-site (roughly a quarter to half your time) to take validated POCs to first production deployment.
→Build and configure data pipelines, edge devices, and vision models in real physical environments like factories, warehouses, and construction sites.
→Act as the field's voice back to Product and Engineering — surfacing the gap between what customers ask for and what they actually need.
→Write production-grade Python and handle the messy realities of real-world CV: lighting, camera calibration, model drift, and edge hardware limits.
→Document deployment architectures, write runbooks, and hand off cleanly once customers are running independently.

Tech stack: Python, Docker, Kubernetes, Linux, NVIDIA Jetson, computer vision, ML/MLOps, edge computing, industrial cameras

Requirements

~1 min read

Roughly 1–8 years in a forward-deployed, field, solutions-architect, or customer-facing software engineering role. A junior path (1–3 years) works with strong FAANG-tier internships plus time at a leading FDE company, high-growth startup, or in a customer-facing SWE role.
Direct ownership of a customer-facing technical deployment end to end — from initial build through customer adoption and post-launch support.
Strong Python plus real systems-level experience (Docker, Kubernetes, networking, Linux).
Automation, mechanical, or industrial engineers with strong software engineering skills are welcome.
A BS in computer science, engineering, or a related technical field.
Highly motivated, coachable, and low-ego — eager to learn, open to feedback, and a genuine team player.
Able to communicate and build trust with everyone from executives to engineers to floor operators.
Willing to travel 40–50% for on-site deployments; a Midwest base (Chicago / Indianapolis area) is strongly preferred.

Nice to Have

~1 min read

Background in manufacturing, logistics, automotive, or robotics/automation.
Familiarity with MLOps and CV tooling — model versioning, monitoring, and retraining pipelines.

What We Offer

~1 min read

✓Join a company with genuine traction: a platform already used at massive scale by household-name enterprises.

✓Strong, uncapped OTE plus equity and a generous benefits package, including full health coverage and travel, productivity, and AI-tools stipends.

✓Remote-first across the US with optional hubs and a relocation bonus, plus a flexible, async-friendly culture.

✓A career-defining field role where you own real production outcomes for major customers.

Salary | $144K–$200K base ($180K–$250K OTE, uncapped variable)
Equity | Competitive equity
On-site policy | Remote (US, US daytime hours); ~40–50% travel for on-site deployments
Visa sponsorship | Not open to any visas (US citizens / Green Card holders only)
Employment type | Full-time
Location | Chicago, IL; Indianapolis, IN; Cleveland, OH; Midwest (Remote); NYC/SF/DC hubs