Software Engineer, Robotics Infrastructure

About

The next ten years of AI will not be won in software. They will be won in the physical world. In factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century.

MicroAGI is building it. We are the data layer for physical AI.

You will build the systems that let our research run on real robots in the real world. Evals at scale, deployment infrastructure, the bridge between model and machine. Whatever the research team needs to test a hypothesis on hardware, you build it.

What You Will Do

• Build and scale our evaluation infrastructure. Run benchmarks in sim and on real robots, across the standard ones from industry and research.
• Design and ship new evals where the existing ones do not measure what we care about.
• Build the deployment stack for real robot fleets. Remote teleoperation, on-robot model distillation, cloud-to-edge inference, intervention detection.
• Work side by side with the research team to take ideas from notebook to robot fast.
• Use AI coding tools as a core part of your workflow.

Requirements

• Strong engineering background with hands-on robotics or embodied AI experience. You have shipped code that ran on real hardware.
• Production experience with ML infrastructure. Training, eval, deployment, observability.
• Comfortable across the stack. Python, C++, distributed systems, GPU.
• High agency - you don't wait to be told what to do.
• Fluent in English.