# Data Infrastructure Engineer at Droyd Robotics

> Onsite · United States · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/ashby%3Adroyd%3A8dc56db8-fe7f-498e-a9f2-3240acb8dbb1 (read 2026-11-06).

## Facts (observed)

- Company: [Droyd Robotics](https://alderhq.app/companies/droyd-robotics)
- Location text: San Francisco, CA
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco, CA")
- Posted: 2026-06-10 (148 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/droyd/8dc56db8-fe7f-498e-a9f2-3240acb8dbb1
- Skills listed (inferred): Python, Go, Rust

## Pay and sponsorship

- Posted pay: $150k–$250k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 171): p25 $200k, median $239k, p75 $302k

## Description (the employer's text)

### 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 Candidates 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adroyd%3A8dc56db8-fe7f-498e-a9f2-3240acb8dbb1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.