Data & AnalyticsOn-site

Data Infrastructure Engineer

Droyd · On-site

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Droyd's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $150K - $250K
Location: San Francisco, CA

Hiring context

How this role compares at Droyd

Droyd has 25 live roles in MeritLog’s catalog across 7 job families, and 9 of them are in data & analytics. 20 of those listings publish a pay range, a disclosure rate of 80%.

This role's posted range of $150K - $250K sits above 94% of the 18 other Droyd roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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

What they're asking for

Has 5+ years of software development experienceExperience
Has hands-on experience architecting and optimizing large-scale data pipelinesSkill
Is proficient in Rust, Go, or Python - Rust is a big plusSkill
Has a strong sense of ownership and can drive complex systems end to endSkill
Communicates clearly and works well with ML, robotics, and hardware engineersSkill
Bonus: experience with streaming video, telemetry-heavy systems, or robotics/edge dataSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

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