Data Infrastructure Engineer

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

• Architect, build, and maintain highly-available data pipelines for robot video, telemetry, and demonstration data
• Own the path from robot to training set: edge ingestion, MoQ/WebTransport streaming, storage, indexing, and retrieval
• Work with ML and robotics engineers to make fleet data immediately usable for training and evaluation
• Improve throughput, reliability, and cost across the full data path
• Build tooling that lets the team find, inspect, and trust the data
• Help set technical direction for data and infrastructure as the fleet scales

Do you have experience in Video streaming?, * Has 5+ years of software development experience

• Has hands-on experience architecting and optimizing large-scale data pipelines
• Is proficient in Rust, Go, or Python - Rust is a big plus
• Has a strong sense of ownership and can drive complex systems end to end
• Communicates clearly and works well with ML, robotics, and hardware engineers
• Bonus: experience with streaming video, telemetry-heavy systems, or robotics/edge data

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.

Compensation Range: $150K - $250K

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