Forward Deployed Engineer
New YorkHybridFull-time
AI Summary
Deploys and maintains edge AI systems in real factories and warehouses, working on-site to observe operations, build prototypes, fix issues, and turn field fixes into reusable playbooks.
About this role
At Intenseye, we believe protecting people at work is non-negotiable.
That’s why we’re building the world’s most advanced AI-powered platform for industrial environments, designed to help organizations move from reactive programs to proactive risk prevention across safety, operations, and quality management. Our technology gives enterprises the ability to see risk and inefficiency as they emerge, take action in real time, and prevent incidents before they happen.
Powered by cutting-edge AI and Intenseye’s proprietary Sentinel hardware, our platform delivers ethical, highly accurate intelligence across complex worksites. EHS, operations, and quality teams gain continuous leading indicators, deep operational insight, and unprecedented visibility into how work actually happens.
Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started.
About Intenseye
We build industrial AI where the work happens. Our edge vision systems plug into real workplaces. They help teams spot risk early, act fast, and keep people and goods moving. Safety is part of the job, not an add-on. We think long term about how factories and DCs should run in ten years and ship tools that move that future into the present.
What we actually do:
Build fast, reliable models that understand complex physical environments. Package them into plug-and-play workflows that teams adopt in hours, not months. Close the loop from hazard signal to action to measurement to improvement on live floors.
Forward Deployed Engineer at Intenseye
You help us get edge AI running in real factories and warehouses, then keep it working. You meet the team, watch how the work actually happens, sketch a simple plan, build a prototype, try it on site, and adjust. When something breaks, you fix it. You write things down so the next install is easier.
One week you’re on the floor at 7am. observing how things operate. Next you tighten a flow end to end: detect, track, time, alert, then sit with their team to see if you actually solve the problem. You tune it until it’s boring and reliable. You work with backend, frontend, and research teams, share what you learned, and turn the field fix into something we can reuse.
There is no playbook. You will help write it and scale deployments across regions.
About you:
What you will work on:
Background:
Skills
Computer VisionEdge AIEdge SystemsIndustrial SettingsJavaScriptLogisticsManufacturingPythonReactTypeScript
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