> Markdown version of [/jobs/ext/4573810-software-engineer](https://www.wearedevelopers.com/jobs/ext/4573810-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # software engineer - **Company:** Canonical Ltd. - **Location:** UK (Remote available) - **Experience:** Expert - **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, Machine Learning Operations, Model Inference, Docker - **Published:** November 5, 2026 - **Apply:** https://www.workingnomads.com/job/go/1988019/ ## 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