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Software Engineer - Edge AI

Canonical · Home based - EMEA

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Extracted facts

Role
Software Engineer, Edge AI
Seniority
Not specified
Employment type
Full time
Work mode
Remote
Location
Home based - EMEA

Compensation

From
Not specified
To
Not specified
Period
Not specified
Variable compensation
Not specified

Requirements

Bachelor’s or equivalent in Computer Science, STEM or similar degree Preferred

Experience: Not specified

Bash scripting Preferred

Experience: Not specified

CI/CD (GitHub Actions, GitLab CI, etc) Preferred

Experience: Not specified

Containers (docker, kubernetes) Preferred

Experience: Not specified

Experience developing applications for Linux Required

Experience: Not specified

Go or C++ Required

Experience: 3

Hardware accelerators: GPU, NPU Preferred

Experience: Not specified

Linux developer platform Required

Experience: Not specified

Local AI/ML inference frameworks Preferred

Experience: Not specified

Snap, debian, or RPM packaging Preferred

Experience: Not specified

Responsibilities

  1. Provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps.

  2. Design and implement silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways.

  3. Collaborate proactively with a distributed team.

  4. Develop and maintain open-source AI/ML inference application packages.

  5. Debug issues and produce high-quality code to fix them.

  6. Review code produced by upstream and/or other engineers at Canonical.

  7. Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions.

  8. Secure deployment of AI inference platforms on Linux.

  9. Build optimized AI solutions for local inferencing on Ubuntu.

  10. Work from home with global travel 2 to 4 weeks for internal and external events.

Original job 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. 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.

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