Data Infrastructure Engineer
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- large-scale data pipelines
- Rust
- Go
- Python
Also useful
- streaming video
- robotics or edge data
- MoQ/WebTransport
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 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 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.
From Droyd Robotics's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Data Infrastructure Engineer job at Droyd Robotics located?
This Data Infrastructure Engineer position at Droyd Robotics is located in San Francisco, CA (On-site). Always check Droyd Robotics's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Infrastructure Engineer at Droyd Robotics?
For the Data Infrastructure Engineer role, Droyd Robotics highlights 5+ years of relevant experience; experience with large-scale data pipelines, Rust, Go, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Infrastructure Engineer position at Droyd Robotics?
This listing links directly to Droyd Robotics's Ashby application page. You can apply directly on Droyd Robotics's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.