Data Infrastructure Engineer

Droyd · San Francisco

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About the Team

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.

About the Role

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.

In This Role, You’ll

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About Droyd

Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control stack, collect our own data, and train models that run under real-world constraints.

If we do this right, robots stop being demos and start being tools people rely on every day.

Join us and help build systems that actually ship.

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