{"active":true,"apply_url":"https://job-boards.greenhouse.io/canonical/jobs/2614095","company":{"claimed":false,"name":"Canonical","slug":"canonical","website":"https://canonical.com"},"countries":[],"employment_type":null,"first_seen_at":"2026-10-28T12:45:08Z","getwork_url":"https://getwork.dev/jobs/gh-canonical-2614095/","id":"gh-canonical-2614095","injection_flag":false,"last_seen_at":"2026-10-28T12:45:08Z","location":"Home based - EMEA; Home Based - EMEA","published_at":"2021-01-29T20:36:39Z","regions":["europe"],"remote":"remote","role_family":"ml","salary":null,"seniority":"unspecified","stack":["go","c++","kubernetes","linux"],"stack_mentioned":[],"title":"Software Engineer - Edge AI","untrusted_description":"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.\n\nYour 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.\n\nIn 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.\n\nWhat you’ll do\n\n- Collaborate proactively with a distributed team\n\n- Develop and maintain open-source AI/ML inference application packages\n\n- Debug issues and produce high-quality code to fix them\n\n- Review code produced by upstream and/or other engineers at Canonical\n\n- Discuss ideas and collaborate on finding good solutions\n\n- Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions\n\n- Secure deployment of AI inference platforms on Linux\n\n- Build optimized AI solutions for local inferencing on Ubuntu\n\n- Work from home with global travel 2 to 4 weeks for internal and external events\n\nWho you are\n\n- Proven track record of at least 3 years of professional software development using Go or C++.\n\n- Experience working on and developing applications for Linux\n\n- You have interest and experience with a few of the following:\n\n- Containers (docker, kubernetes)\n\n- Snap, debian, or RPM packaging\n\n- Bash scripting\n\n- CI/CD (GitHub Actions, GitLab CI, etc)\n\n- Local AI/ML inference frameworks\n\n- Hardware accelerators: GPU, NPU\n\n- You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated\n\n- You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree\n\nCanonical 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.\n\nWe 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.\n\n#LI-remote","url":"https://job-boards.greenhouse.io/canonical/jobs/2614095"}