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Master Developer Baseband AI

Job in Ottawa, Ontario, Canada
Listing for: Ericsson
Full Time position
Listed on 2026-07-29
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 129500 - 170100 CAD Yearly CAD 129500.00 170100.00 YEAR
Job Description & How to Apply Below

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

About this opportunity

Are you ready to create the future of AI powered 5GA/6G network? 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 AI models in the RAN baseband, 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‑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.

We are now looking for a Senior Baseband AI Developer to join our global team and drive the next wave of innovation across the full baseband stack — from Physical Layer (L1) to Layer 2 (L2) and scheduler design and optimisation.

This role is for someone with deep baseband knowledge, strong software skills, and a genuine passion for applying AI and other emerging technologies to solve real product problems. You will work at the intersection of wireless communication, machine learning, software architecture and modern compute platforms to bring intelligence into key baseband functions and workflows.

No matter where you join, you will become part of a highly collaborative and global organisation with baseband expertise across sites including Stockholm, Lund, Linköping and Ottawa.

Join us to turn advanced AI into real network value.

What you will do
  • Drive and contribute to the exploration, design and development of AI‑enhanced solutions across the baseband domain, including L1/PHY, L2 processing and radio resource scheduling.
  • Identify where AI can create measurable value in baseband functions such as signal processing, link adaptation, resource allocation, traffic management, control optimisation, performance prediction and runtime adaptation.
  • Develop, prototype and evaluate algorithms that combine domain knowledge in wireless systems with modern AI/ML methods, including deep learning and data‑driven optimisation.
  • Work with purpose‑built Ericsson RAN compute as well as general compute platforms such as x86/ARM and accelerator‑based environments, extending the spirit of the reference role beyond PHY into a broader baseband scope. The reference specifically highlights work on purpose‑built RAN compute, COTS platforms and accelerators.
  • Collaborate with cross‑functional teams in system design, software, architecture, data, silicon and product engineering to bring concepts into deployable solutions.
  • Contribute to technology scouting and innovation activities in AI, baseband architecture, tool chains and future software‑defined platforms. The reference explicitly includes technology scouting, AI tool chains, cloud infrastructure and software‑defined baseband incubation.
  • Support validation through simulation, offline analysis, lab verification and, where relevant, over‑the‑air evaluation. The reference explicitly mentions model validation over‑the‑air, simulators and infrastructure.
  • Help shape technical direction, mentor colleagues and contribute to a culture of learning, experimentation and engineering excellence.
The skills you bring
  • 8+ years of experience in baseband digital processing, with strong knowledge in one or more of the following areas: physical layer, L2 protocol processing, scheduler design, radio resource management or related wireless communication domains.
  • Strong programming skills in C/C++ and Python.
  • Solid understanding of 4G/5G radio access technologies and the performance, real‑time and implementation constraints of baseband systems.
  • Experience applying AI/ML methods to communication systems, embedded software, optimisation problems or performance‑critical products.
  • Hands‑on experience with modern ML frameworks such as PyTorch, Tensor Flow or JAX.
  • Strong analytical thinking and the ability to move from problem definition to…
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