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 [email protected].
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.
Skills Required
- MSc degree in Electrical Engineering or Computer Science or equivalent
- Competence and experience in C/C++ and Python
- Experience with machine learning frameworks
- Understanding of 3GPP NR and ORAN standard protocol
- Experience developing through the DevOps pipeline
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, vision, and mental‑health options are positioned as core benefits with multiple plan choices in key markets. Official materials explicitly emphasize healthcare breadth as part of “Life at Ericsson.”
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Retirement Support — 401(k) with employer matching in the U.S., pensions in some regions, and broad access to an ESPP indicate strong long‑term financial support. Company filings and AGM materials describe share programs and post‑employment benefits as ongoing pillars of the package.
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Leave & Time Off Breadth — Paid time off, sick leave, holidays, and paid volunteer time are highlighted alongside generous parental leave in various locations. Time‑off entitlements are presented as a strong component of the total rewards offering.
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What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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