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# software engineer

- **Company:** Canonical Ltd.
- **Location:** Latin America, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Computing Platforms, Unit Testing, Bash Shell, C++ (Programming Language), Ubuntu (Operating System), Code Review, Continuous Integration, Software Debugging, Linux, Github, Open Source Technology, Software Engineering, Software Security, Software Application Programming, Gitlab-ci, Kubernetes, Information Technology, Free and Open-Source Software, Hardware Acceleration, Docker
- **Published:** August 30, 2026
- **Apply:** https://www.workingnomads.com/job/go/1823688/

## About the Role

* Proven track record of at least 3 years of professional software development using Go or C++.
 * Experience working on and developing applications for Linux
 * You have interest and experience with a few of the following:

 * Containers (docker, kubernetes)
 * Snap, debian, or RPM packaging
 * Bash scripting
 * CI/CD (GitHub Actions, GitLab CI, etc)
 * Local AI/ML inference frameworks
 * Hardware accelerators: GPU, NPU

You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated

You have a Bachelor's or equivalent in Computer Science, STEM or similar degree

## Description

Your role will be to help us provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps. You will work on designing and implementing silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways. Linux will be at the core of your everyday challenges.

In our team we value collaboration, peer reviews, good integration/unit testing, and writing maintainable code. General knowledge and experience with Linux as a developer platform is required.

What you'll do

 * Collaborate proactively with a distributed team
 * Develop and maintain open-source AI/ML inference application packages
 * Debug issues and produce high-quality code to fix them
 * Review code produced by upstream and/or other engineers at Canonical
 * Discuss ideas and collaborate on finding good solutions
 * Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions
 * Secure deployment of AI inference platforms on Linux
 * Build optimized AI solutions for local inferencing on Ubuntu
 * Work from home with global travel 2 to 4 weeks for internal and external events


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