# DevOps Engineer at Droyd Robotics

> Onsite · United States · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/ashby%3Adroyd%3A45f89fae-e6fc-498c-a1ee-b770c9a6a1d1 (read 2026-11-04).

## 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: 2026-06-09 (147 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/45f89fae-e6fc-498c-a1ee-b770c9a6a1d1
- Skills listed (inferred): Docker

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 151): p25 $201k, median $240k, p75 $310k

## Description (the employer's text)

### About the Team

Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. We design and manufacture our hardware in-house, which means iteration, fabrication, and execution all happen under one roof.

Our software doesn't just run in the cloud — it has to deploy reliably across real robots, Jetsons, and internal systems used for testing and demos. Our engineering team works across robotics, embedded systems, and edge infrastructure, and we need strong operational foundations to support fast iteration and reliable releases.

### About the Role

As a DevOps Engineer at Droyd, you will own the systems that make software deployment reliable across our robots and edge infrastructure. You will build release processes, improve deployment confidence, and create operational tooling that supports both engineering velocity and fleet reliability.

A central part of this role is dealing with the realities of Jetson-based systems: cross-compilation from x86\_64 to aarch64, JetPack quirks, OTA workflows, and the infrastructure needed to keep a distributed hardware fleet working.

This role is based on-site in San Francisco, CA.

### In This Role, You’ll

Release & Deployment

Build and maintain release and deployment pipelines for robots and edge systems

Own operational workflows across local development, Jetson devices, and production environments

Improve deployment confidence, reproducibility, and rollback safety across the fleet

Fleet & Edge Infrastructure

Improve OTA and fleet management workflows for deployed hardware

Handle cross-compilation workflows from x86\_64 to aarch64 for Jetson-based systems

Work on the infrastructure behind certs, JWKS, QUIC, and other reliability-critical systems

Process & Collaboration

Work closely with robotics and software teams to standardize release, update, and system management practices

Drive process improvements in messy real-world systems

Work Environment & Schedule

On-site in San Francisco, CA

Full-time

### We’re Looking For Candidates Who

Have strong DevOps or infrastructure engineering experience

Have deep Linux and Ubuntu experience

Have hands-on experience with JetPack and Jetson-based systems

Have experience with Docker Compose, systemd, fleet management, or OTA workflows

Can design practical deployment systems for hardware and edge environments

Have strong technical judgment and can drive process improvements in messy real-world systems

### Nice to Have

Experience with Balena or Balena Etcher

Experience with embedded Linux or robotics deployments

Experience supporting cert, auth, or transport infrastructure in production systems

### About Droyd

Droyd builds autonomous robotic systems that operate in real production environments. We design the hardware, develop the control stack, and generate the data that enables generalist robotics.

If we do this right, robots stop being demos and start being infrastructure.

Join us and help build the systems that make it real.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adroyd%3A45f89fae-e6fc-498c-a1ee-b770c9a6a1d1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.