Grow with us

Location: Ottawa, Canada - Hybrid
Start date: September 2, 2025
Length: 16 Months

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

** Request ** Please indicate in your application resume, or a cover letter, how many months you are available for. Since there is a lot to learn, we are seeking students available for eight months or longer. Please include your most recent transcripts in your application.

Are you ready to create the future of AI powered 5G advanced/6G network?
Baseband Technology under Ericsson AI and other emerging technology department leads technology foresight and development in the core system area of real-time processing (baseband), both for AI and non-AI methods and workloads. This includes AI models in the Physical Layer of RAN, accelerated compute technology, the SW toolchain for AI on Ericsson Silicon (EMCA) and other areas vital to the AI mission, such as overseeing field data collection and AI model validation over-the-air, simulators, cloud infrastructure and more. The responsibility area also includes leading technology incubation for future SW-defined baseband planforms, for example using GPU’s and various accelerator devices.

What you will do
Be actively contribute the technology scotting on new algorithm, in particular focus on Neural Network and other deep learning algorithm to enhance implementation of NR/6G Physical Layer functions running on the Ericsson purpose build RAN compute as well as COTS (Commercial off the shelf) General compute platform, i.e x86/ARM with various accelerator.

You will bring

• Competence and experience in C/C++ and Python.
• Quick learner with open mind is a must.
• MSc degree in Electrical engineering or Computer Science or equivalent.
• Excellent written and verbal communication, interpersonal, time management, and multitasking skills.
• Willingness to work with an international, agile and multi-site teams both collaboratively and autonomously.
• An enthusiastic demeanor, eager to continue growing and learning;
• Innovating, adapting, and responding to change.
• A strong can-do attitude.

Additional Qualifications:

• Any experience for wireless mobile network, understanding of 3GPP NR and ORAN standard protocol.
• ML frameworks (TensorFlow, PyTorch, JAX) and cloud platforms, especially AWS (SageMaker, Lambda, Step Functions, S3, etc.);
• Deep learning AI models (Large language Model/LLM, Convolutional Neural Networks/CNNs, Transformers, etc.);
• Developing through the Development Pipeline and software content management principles and tools – CI/CD (DevOps), git, Gerrit, GitHub, Jenkins, Spinnaker;
• Work with different AI compiler framework (LLVM,MLIR etc).
• Nvidia tool chain, CUDA, Kernel design