Canonical logo

Software Engineer - Edge AI

Canonical·Salary not specified

Primary stack

LinuxAI

Job description

About the Position

Software Engineer - Edge AI

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.

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

Requirements

  • 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:
  • 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

We Offer

  • Opportunity to work with cutting-edge technologies in edge AI and open-source software
  • Collaborative and innovative work environment
  • Flexible work arrangements with global travel opportunities

About the Company

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.

© Canonical. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Canonical logo
Canonical

Telecommunications,Aerospace,Healthcare,Government,Financial Services

About the Company Canonical delivers open source solutions faster, more securely, and more cost-effectively than any other company. The company develops Ubuntu, the world’s most popular enterprise Linux, from cloud to edge, in collaboration with a global community of 200,000 contributors. Products, Services & Tech Stack Core Solutions: Ubuntu: The world’s most popular enterprise Linux. Ubuntu Pro: A subscription service providing trusted open source supply chain with consistent security maintenance. Composable open source solutions: Solutions for building, deploying, and operating containerized apps. Data and AI solutions: Solutions for accelerating AI and data-driven workflows. IoT solutions: Solutions for building, securing, and scaling IoT devices. Project Scope & Target Clients Client Base: Enterprises Government agencies Healthcare organizations Educational institutions Research institutions Engineering Scale: Cloud infrastructure projects Data center automation Application modernization IoT device development AI and data-driven workflows

Popular searches