Join our Team

At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.

About this opportunity:

At Ericsson, we are building the next generation of intelligent, AI-native telecommunications networks. As the industry evolves from 5G toward 6G, we are advancing wireless technologies, cloud-native software platforms, and AI-driven solutions that power global connectivity.

We are seeking a talented and motivated Software Designer with 3-5 years of experience in wireless systems and hands‑on exposure to AI/ML-driven solutions and cloud-native software.

This role is ideal for engineers who are ready to take on greater technical ownership while contributing to the design and development of next-generation telecom platforms and intelligent network solutions.

You will collaborate with experienced architects, software developers, AI specialists, and global R&D; teams to design, develop, and optimize scalable telecom software systems deployed in large-scale production networks worldwide.

What you will do:

Wireless, Cloud Native & Platform Development

- Design and develop software solutions for 5G evolution and 6G wireless systems, including UPC/L2 scheduling and RAN platform functionality.
- Contribute to scalable, high-performance, and reliable software architectures for distributed telecom systems.
- Develop and enhance cloud-native applications using containers, Kubernetes, microservices, and virtualization technologies.
- Collaborate with cross-functional teams on feature integration, troubleshooting, system optimization, and performance improvements.




- Support the development of AI-enabled platform capabilities and modern software engineering solutions.
- Participate in technical discussions, software design reviews, and architectural improvement initiatives.
- Contribute to software quality, scalability, operability, and maintainability across large-scale deployments.

AI/GenAI & Intelligent Automation

- Contribute to the development of AI/ML and GenAI-based solutions for telecom analytics, automation, and engineering workflows.
- Contribute to the development and maintenance of domain knowledge systems that support AI-based software development, troubleshooting, and system understanding.
- Apply AI/ML techniques to support feature development, system behavior modeling, and optimization within telecom components.
- Work with AI frameworks, LLMs, RAG, and agentic AI technologies to support intelligent software capabilities.
- Help integrate AI-powered features into software platforms, analytics systems, and operational tools.
- Participate in experimentation, prototyping, validation, and optimization of AI/ML use cases.
- Contribute to building secure, scalable, and production-ready AI-enabled applications.
- Evaluate the impact of AI/ML-driven features and GenAI-enabled solutions on system performance, development efficiency, and code quality.

Collaboration & Technical Growth

- Collaborate closely with architects, developers,



data scientists, and global engineering teams.
- Participate in Agile software development and continuous technical improvement activities.
- Contribute technical ideas, innovation, and process improvements within the team.
- Support knowledge sharing, mentoring of junior engineers, and collaborative problem solving.
- Continue building expertise in wireless systems, cloud-native platforms, AI technologies, and software architecture.

The skills you bring:

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Telecommunications, AI/ML, or a related field.
- 3-5 years of experience in wireless systems, with hands‑on exposure to cloud-native software and AI/ML-driven solutions.
- Solid programming skills in C/C++ and Python.
- Experience with distributed systems, software design, and scalable application development.
- Good understanding of wireless technologies, 5G NR systems, telecommunications, or networking concepts.
- Experience with cloud-native technologies including containers, Kubernetes, microservices, or virtualization platforms.
- Experience with AI/ML and Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, knowledge engineering, AI-assisted software development workflows, and Python-based AI/data frameworks.
- Strong analytical, problem‑solving, communication, and collaboration skills.
- Ability to work effectively in a fast‑paced and highly collaborative engineering environment.

Preferred Qualifications

- Experience with Open RAN technologies.
- Fam

📌 AI Software Designer RAN (Ottawa)
🏢 Ericsson
📍 Ottawa