Berlin, Germany; Barcelona, Spain · Full-time · Senior · HR, legal & admin
Software Engineer - Edge AI
For international applicants
Visa
Sponsorship not stated in the posting.
Ask the employer before you apply.
Remote work
Remote work countries not confirmed — check the original posting
Remote does not mean work from any country. Confirm permitted countries and work authorization before applying.
Your work rights
Confirm requirements with employer
- Remote
- Salary not disclosed
- Employment type: Full-time ·
Get similar jobs with visa sponsorshipIT & software jobs worldwide with visa sponsorship
About the employer
Expat Jobs has not reviewed this employer's identity. Check the original posting and the employer's own site before sharing documents.
Remote work schedule
The posting does not say where the team works. Add the employer timezone below if you know it.
Change timezones or hours
Employer hours use a 09:00–17:00 planning assumption. Overlap is for today's date, including daylight saving, and does not establish permission to work from your country.
Description (EN)
Location: Home based - EMEA
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
Never pay a recruiter for a job offer or a visa promise. Check the original posting and employer identity before sharing documents. Pay any legitimate government visa fees only through official channels.
Similar vacancies
United States (Remote) · Full-time · Lead · Healthcare
Requirements
Remote, Global · Full-time · IT & software
Requirements
United Kingdom (Remote) · Full-time · Middle · Sales & marketing