Data Infrastructure Engineer

Droyd; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Droyd in San Francisco is seeking a Staff Software Engineer focused on data infrastructure. You will own data pipelines that convert robot telemetry into valuable training signals. Collaborate directly with a small, senior team across robotics and machine learning to improve systems.

The ideal candidate has over 5 years in software development, proficient in Rust, Go, or Python, and a strong sense of ownership. This in-person role is vital for our mission of transforming demos into reliable tools.

Qualifications

• 5+ years of software development experience.
• Hands-on experience architecting large-scale data pipelines.
• Strong sense of ownership and clear communication.

Responsibilities

• Architect and maintain data pipelines for robot video and telemetry.
• Own the data path from robot to training set.
• Work with ML and robotics engineers for data usability.
• Improve throughput and reliability of the data path.
• Build tooling for data inspection.

Skills

Software development

Data pipelines architecture

Rust

Go

Python

Communication

Job description

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.