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Software Engineer - Edge AI at Canonical

Confirmed open

Software Engineer - Edge AI opportunity with Canonical. See the official posting for responsibilities and application details.

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Location
Remote
Advertised region
Home based - EMEA
Work arrangement
remote
Technologies
C++, Kubernetes, Docker, Linux, Go
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Role overview

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.

Responsibilities

  • 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
  • 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)
  • CI/CD (GitHub Actions, GitLab CI, etc)
  • Local AI/ML inference frameworks
  • Hardware accelerators: GPU, NPU

Qualifications

  • Containers (docker, kubernetes)
  • 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.

Technology in this role

  • C++: C++ Kubernetes Docker Linux .
  • Kubernetes: C++ Kubernetes Docker Linux .
  • Docker: C++ Kubernetes Docker Linux .
  • Linux: C++ Kubernetes Docker Linux .
  • Go: C++ Kubernetes Docker Linux .
  • C: C++ Kubernetes Docker Linux .
  • Bash: Listed by the employer as part of the role’s technical requirements.
  • GitHub Actions: Experience working on and developing applications for Linux You have interest and experience with a few of the following: Containers (docker, kubernetes) CI/CD (GitHub Actions, GitLab CI, etc) Local AI/ML inference frameworks Hardware accelerators: GPU, .
  • CI/CD: Experience working on and developing applications for Linux You have interest and experience with a few of the following: Containers (docker, kubernetes) CI/CD (GitHub Actions, GitLab CI, etc) Local AI/ML inference frameworks Hardware accelerators: GPU, .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Software Engineer - Edge AI position at Canonical is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “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…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting.

About Canonical

Canonical is a growing, international software company that works with the open-source community to deliver Ubuntu -- the world’s #1 cloud operating system. Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. Canonical is a unique tech company - global, remote-first, open source, with 700 professionals across 50 countries - we want to be the world’s best, not biggest, global software company. With almost every team remote by default, Canonical sets the pace on the 21st-century digital workplace.

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

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