Jobs/Software Engineer - Edge AI
C

Software Engineer - Edge AI

Canonical Verified
Regional Notice: This position is listed for Remote (EMEA). Looking for verified Remote Software Engineering jobs hiring in India?
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Compensation TransparencyStated CTC: Competitive Global Remote Compensation
Disclosed on Official ATS Application

Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.

Stipend / SalaryCompetitive Global Remote Compensation
Work ModeREMOTE
Experience2+ yrs
Posted3d ago
Verified Direct Role: Clicking "Apply on Official Site" opens Canonical's official careers portal directly without middleman aggregators.
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Job Snapshot & Verified Telemetry
  • Target Role:Software Engineer - Edge AI
  • Employer:Canonical
  • Work Mode:REMOTE
  • Location:Remote (EMEA)
  • Compensation:Competitive Global Remote Compensation
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:GoDockerKubernetesDevOps
Apply on Canonical

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About the 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. 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 Bac

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack4 Skills

The employer seeks candidates proficient in the following core technologies:

GoDockerKubernetesDevOps
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• Verified Submissions: 0 / 5• 7-Day Ghosting SLA Active• Direct ATS Verified
Expected Assessment Topics:Crowdsourced
LeetCode Medium (Graph Traversal, Matrix Math, Optimizations)Vector Search Pipeline & Batch Inference Architecture

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Verified Direct Application Link

Official position sourced directly from Canonical's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
Dashboard Tracking1-Click Submission & Reminders
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How do I apply for Software Engineer - Edge AI at Canonical?▼

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What is the compensation or stipend for this role?▼

The verified package for this role is Competitive Global Remote Compensation (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in Go, Docker, Kubernetes, DevOps are encouraged to apply.

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