Data Infrastructure Engineer

Droyd builds autonomous robotic systems that take on repetitive manual work in real environments. Our robots generate high-rate video, telemetry, and demonstration data every time they move — and that data is what trains our models.

Our software team builds the systems that connect robots to learning. Data infrastructure sits at the center of that loop: what gets captured, how it moves, and how fast it becomes training signal. This work runs on real machines, not benchmarks.

As a Staff Software Engineer on data infrastructure at Droyd, you'll own the pipelines that carry data from robot to model. You'll architect ingestion from edge devices, streaming transport, storage, and retrieval — and make fleet data immediately usable for training and evaluation.

You'll work in person with a small, senior team across robotics, ML, and hardware. Your work will ship directly to deployed systems.

This role is based in San Francisco, CA. We're an in-person company. We build faster that way.

Architect, build, and maintain highly-available data pipelines for robot video, telemetry, and demonstration data