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Ericsson

Kanata
Total Offices: 2
88,000 Total Employees
Year Founded: 1876
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Ericsson Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.

Typical time on-site: Flexible

Global Office Locations

Kanata Montréal
Kanata

Ottawa R&D Site

In Kanata North’s tech park, surrounded by trail networks, cafés, and family-friendly suburbs; easy driving commutes and quick access to Ottawa’s downtown culture and sports.

Montréal

Montreal AI & R&D Hub

8275 Route Transcanadienne, Ville Saint-Laurent, Montréal, Quebec, Canada, H4S 0B6

Recently posted jobs

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Développeur(se) IA agentique - co-op

5 Days AgoSaved
In-Office
Montréal, QC, CAN
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Co-op role to design, build and deploy agentic AI systems for telecom: develop AI agents, backend APIs and web frontends, prototype Copilot Studio solutions, analyze network data, containerize and deploy on cloud (Docker/Kubernetes), support CI/CD and collaborate in an Agile team.
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Ericsson

Full-Stack Developer Co-op

5 Days AgoSaved
In-Office
Montréal, QC, CAN
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develop front-end or back-end web functionality for Ericsson’s cloud infrastructure and data center hardware software. Responsibilities include requirements discussions, feature design and coding, unit testing, Cypress-based automated feature testing, and project prioritization. The role requires collaboration in an agile team and contributes to launching next-generation software built with React and Node.js.
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Ericsson

AI Development Co-op

5 Days AgoSaved
In-Office
Montréal, QC, CAN
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Support AI proofs of concept, prototypes, and digital transformation projects. Participate in requirements and design discussions, preprocess data, engineer features, contribute to model architecture decisions, implement and evaluate AI models, and integrate software components into complete solutions. The role requires software development, data analysis, version control, autonomous problem-solving, and bilingual French-English communication.
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