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
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
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.
Skills Required
- 5+ years of software development experience
- Hands-on experience architecting and optimizing large-scale data pipelines
- Proficient in Rust, Go, or Python (Rust is a big plus)
- Strong sense of ownership; can drive complex systems end-to-end
- Clear communicator; works well with ML, robotics, and hardware engineers
- Must work in-person in San Francisco, CA
- Experience with streaming video, telemetry-heavy systems, or robotics/edge data
What We Do
Droyd develops autonomous robotic systems designed to automate repetitive manual work for enterprises within real production environments. By designing and manufacturing hardware and control stacks in-house, the company aims to transition robotics from demonstrations to essential infrastructure, specifically targeting the data center ecosystem.
