The Skills Layer for Physical AI

Build the layer that makes robots useful.

We are a small team working on the part of physical AI that decides whether a robot earns its place on a floor: the data behind a skill, the policy trained on it, and the benchmark it has to clear. If that is the problem you want to work on, we would like to hear from you.

Where we need people
01 / Data

Capture program lead

Design and run capture programs: define the task list, the modalities and the environments, then manage the operators who record them. Field work, not a desk job.

02 / Models

Robot learning engineer

Post-train vision-language-action policies on our corpus, run reinforcement learning in simulation, and get skills through benchmark on physical hardware.

03 / Deployment

Deployment engineer

Commission skill packs on customer sites, fine-tune to the building, and run acceptance testing with the operator. Expect travel and time on real floors.

04 / Channel

Business development, hardware partners

Build the Partner Program: sign robot makers and fleet operators, get our skill packs into their catalogs, and equip their sales teams with the use cases and business rationale that turn a hardware conversation into a deployment.

We hire ahead of the roles we post. If you have worked on robot data, embodied policy training, channel sales, or the operational side of deploying automation, apply anyway and tell us what you would want to own.

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Build the business case before you buy a robot.

Our Deployment Impact Assessment baselines the labor in scope, quantifies what automation is worth on your floor, and returns a costed plan your finance team can underwrite.

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