remotejobopenings

Software Engineer - Edge AI

Canonical · posted Apr 24, 2026

EU only RS 75 godockerkubernetes

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At a glance

Location
EU only
Posted
Apr 24, 2026
Auto-expires by
Jun 7, 2026 (if not re-listed at source)

Remote Score for Canonical

75/100 · we score companies against a 10-point editorial rubric. How we score →

  • Fully distributed
  • Async-first culture
  • Timezone-flexible
  • Equal remote compensation
  • Home office stipend
  • Coworking allowance
  • Protected focus time
  • Public handbook
  • Transparent salaries
  • Distributed leadership

Editor's note: First-pass score. Fully distributed (Ubuntu maker; Mark Shuttleworth's company has been remote since founding). Distributed leadership. Strong async culture; no-meeting policy varies by team. Comp is location-adjusted (not equal across regions) but bands not always public per role. Sources: canonical.com/careers; widely-discussed on r/sysadmin and HN. Review and adjust — especially 'transparent_salaries' which I left unchecked because individual postings don't publish ranges by default.

This listing was sourced from Greenhouse — Canonical's public careers page. We don't intercept applications.

About this role (from Canonical's posting)

This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and AI. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. 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 Who you are 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 Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

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