Strategic Overview
Software Engineer - Edge AI at Canonical is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Collaborate proactively with a distributed team.
The role is listed for EMEA with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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
Required Qualifications & Candidate Blueprint
- 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
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Collaborate proactively with a distributed team — rather than a generic title alone.
Resume & Application Strategy
For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.