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AI Software Designer RAN & AI Solutions

Job in Ottawa, Ontario, Canada
Listing for: Ericsson GmbH
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 111300 CAD Yearly CAD 85000.00 111300.00 YEAR
Job Description & How to Apply Below
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.
  • Strong programming skills in C/C++ and Python.
  • Experience…
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