Developer Advocate Engineer

Dexmate is building the platform for physical AI — general-purpose humanoid robots and the full-stack infrastructure powering them. Our mission is to make physical AI accessible to every developer, the way cloud computing made software infrastructure accessible to everyone before it. Our developer community is early — the opportunity to shape it from the ground floor is real.

Many developers have never deployed a model that moves something in the physical world. The gap between "it works in training" and "it works on a robot" is enormous.

That's your job.

You'll be the person who helps AI/ML developers understand what happens when their models leave the data center and run on a humanoid robot: latency constraints, sensor noise, sim-to-real transfer, on-device inference, closed-loop control, etc. You'll build the sample projects, write the tutorials, and create the content that makes Dexmate the platform serious AI engineers choose when they want to work on physical AI.

This is an engineering role first. You write code every week. The talks and tutorials come from building, not the other way around.

Build and publish sample projects that show AI/ML engineers how to train, fine-tune, and deploy models on the Dexmate platform.

Write and publish technical tutorials weekly — step-by-step guides, architecture explainers, and deployment walkthroughs written for engineers who know ML but are new to physical AI.

Own the SDK documentation for AI/ML workflows: quickstart guides, API reference, Python SDK samples, kept current within 48 hours of any platform change.

Answer developer questions daily in Discord and GitHub Discussions — no question unanswered within 24 hours.

Build reference integrations with foundation AI model providers and publish architecture guides for running their models on Dexmate robots.