Founding Software Engineer

Posted Yesterday
3 Locations
In-Office
Entry level
Artificial Intelligence • Robotics • Industrial • Manufacturing
The Role
Build full-stack software for robot teleoperation, data pipelines, backend services, and factory-facing tools. Own the complete product lifecycle, including user discovery, development, deployment, troubleshooting, and validation in real manufacturing environments. The role involves working directly with robots and factory users to create reliable production software. Experienced engineers and recent graduates are encouraged to apply.
Summary Generated by Built In

About ko-br

We give robots the ability to reliably perform mundane manufacturing work. We gather physical AI and embodied AI data from robots doing real factory tasks through human-in-the-loop teleoperation, reducing factory OPEX by 50% from day one. Today we sell the data, later, we will use that data to build our own foundation models so robots can do the work autonomously.

The role

You will build the software that makes it happen. Full stack. Whatever the mission needs.

  • Build teleoperation interfaces, robot data pipelines, backend services, and factory-facing tools.

  • Own the whole loop: talk to users, build it, deploy it, fix it.

  • Make software that holds up in real factories, not just demos.

We want you if you solve problems like an owner. No ego, no blockers. Don’t say "it won’t work." Try it. Validate it. Ship it.

Experienced engineer? Great. Recent grad? Apply if you’re itching to ship real products.

Why join?

  • Generous base + equity.

  • Build from the ground up with real robots and real users.

  • Solve valuable problems today.

Our team comes from Amazon, Meta, Microsoft, Universal Robots, Siemens, and the University of Cambridge.

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The Company
5 Employees
Year Founded: 2024

What We Do

ko-br develops infrastructure for collecting and preparing teleoperation data from robots performing real tasks on factory floors. Its human-in-the-loop approach helps robots reliably handle routine manufacturing work, with the company saying this can reduce factory operating expenses by 50% from day one. It currently sells the collected data and plans to use it to build foundation models that enable autonomous robotic work.

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