Edge DevOps Engineer for Autonomous Systems

Primordial Labs; Oregon; Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Equity stake

100% Remote (US)

Comprehensive health coverage

401(k) with 6% match

DTO (Discretionary Time Off)

Elite technology package

Job summary

Primordial Labs is seeking a DevOps Engineer to mature our CI/CD pipeline from developer laptops to fielded robots, with edge deployment and updates. You will expand automated testing, build robust pipelines, and help secure and scale deployment across embedded platforms.

The role emphasizes turning infrastructure work into field-ready outcomes, collaborating with engineers, and growing our autonomous systems capabilities in high-stakes environments.

Qualifications

• 5-8 years in DevOps, infra, or platform engineering.

Responsibilities

• Mature GitHub Actions CI into full CI/CD with multi-target builds.
• Integrate testing tools to run automatically on changes.
• Set up self-hosted runners including GPU hardware-in-the-loop.
• Keep pipelines fast and trustworthy by reducing build times and tackling flaky tests.
• Design packaging and deployment for edge devices (e.g., NVIDIA Jetson) and new partner platforms.
• Build safe update workflows with versioned releases and rollback capabilities.
• Create monitoring, logging, and diagnostics tooling for devices with limited bandwidth or intermittent connectivity.
• Automate environment setup and promote best testing/CI practices through docs and reviews.

Skills

DevOps

CI/CD

Edge deployment

GitHub Actions

C++

Python

Docker

Linux

Scripting

Tools

GitHub Actions

Docker

CMake

Python

Bash

Linux

Job description

Primordial Labs is seeking a DevOps Engineer to mature our CI/CD pipeline from developer laptops to fielded robots, with edge deployment and updates. You will expand automated testing, build robust pipelines, and help secure and scale deployment across embedded platforms.

The role emphasizes turning infrastructure work into field-ready outcomes, collaborating with engineers, and growing our autonomous systems capabilities in high-stakes environments.