Master Developer Baseband AI

EricssonOttawa, ON
CA$129,500 - CA$170,100Onsite

About The Position

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-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. 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.

Requirements

  • 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, TensorFlow or JAX.
  • Strong analytical thinking and the ability to move from problem definition to implementation and validation.
  • An MSc or PhD in Electrical Engineering, Computer Science, Applied Mathematics or a related field.
  • A consistent track record of delivering complex software solutions with high quality.
  • The ability to work effectively in international, agile and multi-site teams.
  • Curiosity, openness to new ideas and a strong drive to learn, innovate and help others grow.

Nice To Haves

  • Experience with embedded AI for RAN/baseband.
  • Experience with cloud-based AI/ML workflows and platforms such as AWS and related services.
  • Knowledge of development pipelines and modern software engineering practices, including CI/CD, Git, Gerrit, GitHub, Jenkins and related tooling.
  • Experience with AI compiler stacks and optimisation frameworks such as LLVM or MLIR.
  • Experience with accelerator programming and performance optimisation, for example CUDA, GPU toolchains or kernel design.
  • Experience translating research ideas into production-oriented software and product impact.
  • Excellent written and verbal communication skills.

Responsibilities

  • 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.
  • 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, toolchains and future software-defined platforms.
  • Support validation through simulation, offline analysis, lab verification and where relevant over-the-air evaluation.
  • Help shape technical direction, mentor colleagues and contribute to a culture of learning, experimentation and engineering excellence.

Benefits

  • Choice of 3 medical and dental plan options
  • Core level coverage paid for fully by Ericsson
  • Group Retirement & Savings Program with automatic 2% company contribution
  • 50% match of employee's contribution to Registered Retirement Savings Plan, up to 8% of employee's contribution (maximum of 4% match)
  • Basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay
  • Short-term disability coverage
  • Option to participate in Ericsson’s Stock Purchase Plan
  • 18 days of accrued vacation
  • 3 personal days
  • 10 holidays
  • 1 volunteer day
  • Sick days
  • Up to 10 weeks of paid maternity leave
  • 6 weeks of parental or adoption leave at 100% of pay
  • Financial wellness programs
  • Educational assistance
  • Matching gifts
  • Wellness account
  • Recognition programs
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