INTERNSHIP DETAILS

baseband AI technology-Co-op

CompanyEricsson
LocationOttawa
Work ModeOn Site
PostedMay 29, 2026
Internship Information
Core Responsibilities
The role involves developing AI models for baseband processing and supporting cloud infrastructure CI/CD pipelines. It also includes researching new algorithms to enhance 6G baseband functions on various compute platforms.
Internship Type
full time
Company Size
107154
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The future of mobile isn’t on the horizon, it’s happening now. At Ericsson, we’re building the foundation for an open network ecosystem where industries, developers, and enterprises thrive. The convergence of 5G, AI, cloud, and network APIs isn’t just a technological shift; it’s a transformation that is redefining industries and enhancing everyday life. Open, programmable networks are enabling real-time innovation and unlocking new business models across the globe. Imagine a world where developers can dynamically access network capabilities on demand, where enterprises don’t just use connectivity but shape it. This isn’t a distant vision, it’s the ecosystem we’re creating today. Collaboration fuels everything we do. By working across industries, we’re designing a future where connectivity isn’t just seamless. It’s intelligent, programmable, and transformative. The shift is happening. Are you part of it?
About the Role

Grow with us

Location: Ottawa.

Duration: 12 - 16 months

Start date: September 8th 2026

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

About this opportunity:

Baseband Technology under Ericsson AI and technology foresight 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 research and develop AI models in the baseband domain within 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. Last not the least, the team sit in frontline of AI trend within Ericsson, where also empower the team to act as the pilot to practice agent AI driven workflow in all potential research and development process;

We know Ericsson baseband solution, include physical Layer (L1) has been in leading position drive high performance of our 5G network; In the era of AI technology trend, we are looking for fresh young talent who really have big passion and spirit to explore the beauty of baseband digital processing, dare to innovate and learn deep in artificial intelligence or other cutting-edge technology. 

What you will do:

Being active and learning and practice agent AI workflow in the daily operation; Be actively contribution and support Cloud infrastructure CICD pipeline, such as AWS and on-prem;

As your interests drive you, you are also very welcomed to be part of our research team on the technology scotting on new algorithm, in particular focus on Neural Network and other deep learning algorithm to enhance implementation of NR/6G baseband 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, such as GPU programming.

The skills you bring:

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

What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.  Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. 

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: Canada (CA) || Ottawa (Country/ City)

Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay
The salary offered is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

Key Skills
C/C++PythonNeural NetworksDeep LearningAWSTensorFlowPyTorchJAXCI/CDGitCUDALLVMMLIR3GPP NRORANGPU Programming
Categories
TechnologyEngineeringSoftwareScience & ResearchData & Analytics