About the roleAs 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
We're looking for someone who- 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
