Canonical is hiring a Software Engineer - Edge AI

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